Vitamin D p2
OH and education
df0$person<-1 “person” is a “variable” with constant value=1 I use “person” to calculate mean in total sample using svyby instead of svymean()
## person Educational_levelLow Educational_levelMid Educational_levelHigh
## 1 1 0.06301192 0.6157919 0.3211962
## se.Educational_levelLow se.Educational_levelMid se.Educational_levelHigh
## 1 0.01132777 0.0228592 0.02234021
## ci_l.Educational_levelLow ci_l.Educational_levelMid
## 1 0.0408099 0.5709887
## ci_l.Educational_levelHigh ci_u.Educational_levelLow
## 1 0.2774102 0.08521393
## ci_u.Educational_levelMid ci_u.Educational_levelHigh
## 1 0.6605951 0.3649822
## DEff.Educational_levelLow DEff.Educational_levelMid
## 1 3.439505 3.49531
## DEff.Educational_levelHigh
## 1 3.62263## person Educational_level Edad se ci_l ci_u DEff.Edad
## 1.Low 1 Low 39.98014 1.2018198 37.62462 42.33567 2.796524
## 1.Mid 1 Mid 31.06982 0.5831650 29.92684 32.21280 2.906409
## 1.High 1 High 31.08412 0.6293391 29.85064 32.31760 2.722220
## person m7p21 m7p22 se.m7p21 se.m7p22 ci_l.m7p21 ci_l.m7p22
## 1 1 0.6458972 0.3541028 0.01695059 0.01695059 0.6126746 0.3208803
## ci_u.m7p21 ci_u.m7p22 DEff.m7p21 DEff.m7p22
## 1 0.6791197 0.3873254 3.573169 3.573169## person Age m7p21 m7p22 se.m7p21 se.m7p22 ci_l.m7p21
## 1.17-24 1 17-24 0.6294985 0.3705015 0.03395557 0.03395557 0.5629468
## 1.25-44 1 25-44 0.6936047 0.3063953 0.02840560 0.02840560 0.6379307
## 1.45-64 1 45-64 0.6918096 0.3081904 0.04462082 0.04462082 0.6043544
## 1.65+ 1 65+ 0.5775118 0.4224882 0.02487808 0.02487808 0.5287517
## ci_l.m7p22 ci_u.m7p21 ci_u.m7p22 DEff.m7p21 DEff.m7p22
## 1.17-24 0.3039498 0.6960502 0.4370532 1.903815 1.903815
## 1.25-44 0.2507214 0.7492786 0.3620693 3.612048 3.612048
## 1.45-64 0.2207352 0.7792648 0.3956456 2.326512 2.326512
## 1.65+ 0.3737281 0.6262719 0.4712483 3.185700 3.185700## person Educational_level m7p21 m7p22 se.m7p21 se.m7p22
## 1.Low 1 Low 0.5285219 0.4714781 0.02788887 0.02788887
## 1.Mid 1 Mid 0.6179755 0.3820245 0.02282037 0.02282037
## 1.High 1 High 0.7930370 0.2069630 0.02874783 0.02874783
## ci_l.m7p21 ci_l.m7p22 ci_u.m7p21 ci_u.m7p22 DEff.m7p21 DEff.m7p22
## 1.Low 0.4738607 0.4168169 0.5831831 0.5261393 2.642332 2.642332
## 1.Mid 0.5732484 0.3372974 0.6627026 0.4267516 3.060886 3.060886
## 1.High 0.7366923 0.1506183 0.8493817 0.2633077 3.062577 3.062577## person Area m7p21 m7p22 se.m7p21 se.m7p22 ci_l.m7p21
## 1.Urban 1 Urban 0.6693547 0.3306453 0.01837246 0.01837246 0.6333453
## 1.Rural 1 Rural 0.4776340 0.5223660 0.03959641 0.03959641 0.4000264
## ci_l.m7p22 ci_u.m7p21 ci_u.m7p22 DEff.m7p21 DEff.m7p22
## 1.Urban 0.2946359 0.7053641 0.3666547 3.576526 3.576526
## 1.Rural 0.4447585 0.5552415 0.5999736 3.131536 3.131536## person Region m7p21 m7p22 se.m7p21 se.m7p22 ci_l.m7p21
## 1.1 1 1 0.7224552 0.2775448 0.04213518 0.04213518 0.6398718
## 1.2 1 2 0.7234822 0.2765178 0.05108231 0.05108231 0.6233628
## 1.3 1 3 0.5453313 0.4546687 0.05433737 0.05433737 0.4388320
## 1.4 1 4 0.6280845 0.3719155 0.04265581 0.04265581 0.5444806
## 1.5 1 5 0.6712988 0.3287012 0.05084365 0.05084365 0.5716470
## 1.6 1 6 0.5834451 0.4165549 0.04300022 0.04300022 0.4991662
## 1.7 1 7 0.7058486 0.2941514 0.03076640 0.03076640 0.6455476
## 1.8 1 8 0.5418113 0.4581887 0.12232835 0.12232835 0.3020522
## 1.9 1 9 0.6664586 0.3335414 0.06791893 0.06791893 0.5333399
## 1.10 1 10 0.5592552 0.4407448 0.04106489 0.04106489 0.4787695
## 1.11 1 11 0.6377047 0.3622953 0.04717310 0.04717310 0.5452471
## 1.12 1 12 0.6802091 0.3197909 0.04493758 0.04493758 0.5921331
## 1.13 1 13 0.5455573 0.4544427 0.05563812 0.05563812 0.4365086
## 1.14 1 14 0.7338595 0.2661405 0.05431974 0.05431974 0.6273947
## 1.15 1 15 0.6465623 0.3534377 0.05409655 0.05409655 0.5405351
## ci_l.m7p22 ci_u.m7p21 ci_u.m7p22 DEff.m7p21 DEff.m7p22
## 1.1 0.1949613 0.8050387 0.3601282 1.534853 1.534853
## 1.2 0.1763983 0.8236017 0.3766372 1.985297 1.985297
## 1.3 0.3481694 0.6518306 0.5611680 1.513404 1.513404
## 1.4 0.2883117 0.7116883 0.4555194 1.068689 1.068689
## 1.5 0.2290495 0.7709505 0.4283530 1.723111 1.723111
## 1.6 0.3322760 0.6677240 0.5008338 2.283432 2.283432
## 1.7 0.2338503 0.7661497 0.3544524 1.942471 1.942471
## 1.8 0.2184295 0.7815705 0.6979478 9.468571 9.468571
## 1.9 0.2004228 0.7995772 0.4666601 4.007231 4.007231
## 1.10 0.3602591 0.6397409 0.5212305 1.998495 1.998495
## 1.11 0.2698378 0.7301622 0.4547529 1.522492 1.522492
## 1.12 0.2317148 0.7682852 0.4078669 1.375424 1.375424
## 1.13 0.3453940 0.6546060 0.5634914 1.786397 1.786397
## 1.14 0.1596758 0.8403242 0.3726053 2.154223 2.154223
## 1.15 0.2474104 0.7525896 0.4594649 1.720351 1.720351## person m7p31 m7p32 m7p33 m7p34 m7p35 se.m7p31
## 1 1 0.02444334 0.00458322 0.1262448 0.3731764 0.4715522 0.007520643
## se.m7p32 se.m7p33 se.m7p34 se.m7p35 ci_l.m7p31 ci_l.m7p32
## 1 0.002035374 0.01507526 0.02271921 0.02390783 0.009703155 0.000593959
## ci_l.m7p33 ci_l.m7p34 ci_l.m7p35 ci_u.m7p31 ci_u.m7p32 ci_u.m7p33 ci_u.m7p34
## 1 0.09669783 0.3286476 0.4246937 0.03918353 0.00857248 0.1557918 0.4177052
## ci_u.m7p35 DEff.m7p31 DEff.m7p32 DEff.m7p33 DEff.m7p34 DEff.m7p35
## 1 0.5184107 4.041074 1.547081 3.510158 3.759474 3.907946## person Age m7p31 m7p32 m7p33 m7p34 m7p35
## 1.17-24 1 17-24 0.0002462271 0.001077028 0.10012375 0.4125717 0.4859812
## 1.25-44 1 25-44 0.0090867889 0.004020116 0.13431596 0.3947345 0.4578426
## 1.45-64 1 45-64 0.0000000000 0.000000000 0.05479937 0.3438567 0.6013439
## 1.65+ 1 65+ 0.0778850070 0.009768260 0.15503022 0.3132270 0.4440895
## se.m7p31 se.m7p32 se.m7p33 se.m7p34 se.m7p35 ci_l.m7p31
## 1.17-24 0.0002477224 0.001081954 0.03103975 0.05166362 0.05246789 -0.0002392998
## 1.25-44 0.0081247073 0.003983174 0.02695260 0.03461231 0.03589274 -0.0068373449
## 1.45-64 0.0000000000 0.000000000 0.02046538 0.07725478 0.07687332 0.0000000000
## 1.65+ 0.0245656772 0.003525081 0.02741636 0.03225162 0.03768555 0.0297371645
## ci_l.m7p32 ci_l.m7p33 ci_l.m7p34 ci_l.m7p35 ci_u.m7p31 ci_u.m7p32
## 1.17-24 -0.001043562 0.03928696 0.3113129 0.3831461 0.000731754 0.003197619
## 1.25-44 -0.003786762 0.08148983 0.3268956 0.3874941 0.025010923 0.011826995
## 1.45-64 0.000000000 0.01468797 0.1924401 0.4506750 0.000000000 0.000000000
## 1.65+ 0.002859229 0.10129513 0.2500150 0.3702272 0.126032850 0.016677291
## ci_u.m7p33 ci_u.m7p34 ci_u.m7p35 DEff.m7p31 DEff.m7p32 DEff.m7p33
## 1.17-24 0.16096055 0.5138306 0.5888164 0.06159247 0.2688342 2.642059
## 1.25-44 0.18714209 0.4625734 0.5281911 4.92834415 2.6637969 4.199969
## 1.45-64 0.09491077 0.4952733 0.7520128 NaN NaN 1.270152
## 1.65+ 0.20876531 0.3764390 0.5179518 5.24643273 0.8021020 3.582678
## DEff.m7p34 DEff.m7p35
## 1.17-24 2.721081 2.722794
## 1.25-44 3.370868 3.489019
## 1.45-64 4.155184 3.872093
## 1.65+ 3.019092 3.591864## person Educational_level m7p31 m7p32 m7p33 m7p34
## 1.Low 1 Low 0.063370612 0.005107513 0.1043436 0.3396042
## 1.Mid 1 Mid 0.021471612 0.002912153 0.1004524 0.3439679
## 1.High 1 High 0.008339516 0.006825011 0.1767058 0.4349581
## m7p35 se.m7p31 se.m7p32 se.m7p33 se.m7p34 se.m7p35
## 1.Low 0.4875740 0.034395924 0.003366260 0.02558083 0.04938143 0.05000169
## 1.Mid 0.5311959 0.008560707 0.001286988 0.01979302 0.02878977 0.03289397
## 1.High 0.3731716 0.003473411 0.005568150 0.03389221 0.03926331 0.04070146
## ci_l.m7p31 ci_l.m7p32 ci_l.m7p33 ci_l.m7p34 ci_l.m7p35 ci_u.m7p31
## 1.Low -0.004044161 -0.0014902358 0.05420612 0.2428184 0.3895725 0.13078538
## 1.Mid 0.004692933 0.0003897031 0.06165882 0.2875410 0.4667249 0.03825029
## 1.High 0.001531754 -0.0040883634 0.11027827 0.3580034 0.2933982 0.01514728
## ci_u.m7p32 ci_u.m7p33 ci_u.m7p34 ci_u.m7p35 DEff.m7p31 DEff.m7p32
## 1.Low 0.011705261 0.1544811 0.4363901 0.5855755 7.5185794 0.8411767
## 1.Mid 0.005434603 0.1392460 0.4003948 0.5956669 2.9521418 0.4827889
## 1.High 0.017738385 0.2431333 0.5119128 0.4529450 0.6975812 2.1871518
## DEff.m7p33 DEff.m7p34 DEff.m7p35
## 1.Low 2.641189 4.101356 3.774637
## 1.Mid 3.669402 3.108775 3.677414
## 1.High 3.775548 2.999383 3.386482## person Area m7p31 m7p32 m7p33 m7p34 m7p35
## 1.Urban 1 Urban 0.02291979 0.004771205 0.1283453 0.3838834 0.4600803
## 1.Rural 1 Rural 0.03975869 0.002693523 0.1051298 0.2655452 0.5868728
## se.m7p31 se.m7p32 se.m7p33 se.m7p34 se.m7p35 ci_l.m7p31
## 1.Urban 0.008053949 0.002222745 0.01602644 0.02455894 0.02556343 0.007134339
## 1.Rural 0.019385784 0.002696560 0.04267556 0.04499392 0.06037984 0.001763247
## ci_l.m7p32 ci_l.m7p33 ci_l.m7p34 ci_l.m7p35 ci_u.m7p31 ci_u.m7p32
## 1.Urban 0.0004147049 0.09693406 0.3357488 0.4099768 0.03870524 0.009127705
## 1.Rural -0.0025916378 0.02148728 0.1773587 0.4685305 0.07775412 0.007978685
## ci_u.m7p33 ci_u.m7p34 ci_u.m7p35 DEff.m7p31 DEff.m7p32 DEff.m7p33
## 1.Urban 0.1597566 0.4320181 0.5101837 4.291501 1.541561 3.401592
## 1.Rural 0.1887724 0.3537316 0.7052151 2.176775 0.598591 4.280866
## DEff.m7p34 DEff.m7p35
## 1.Urban 3.778237 3.897696
## 1.Rural 2.295427 3.325182## person Region m7p31 m7p32 m7p33 m7p34 m7p35
## 1.1 1 1 0.004367446 0.008153833 0.01136857 0.3899249 0.5861852
## 1.2 1 2 0.008459838 0.000000000 0.27856471 0.2040289 0.5089465
## 1.3 1 3 0.000000000 0.021952686 0.03647406 0.3308295 0.6107438
## 1.4 1 4 0.006082357 0.007344733 0.12673850 0.3994599 0.4603745
## 1.5 1 5 0.010395079 0.011588890 0.18380482 0.3165125 0.4776987
## 1.6 1 6 0.038169332 0.000000000 0.18167179 0.4073509 0.3728079
## 1.7 1 7 0.018610686 0.004330919 0.15629750 0.3937634 0.4269975
## 1.8 1 8 0.160261558 0.008502112 0.06596314 0.4017313 0.3635419
## 1.9 1 9 0.025119948 0.005383598 0.08113836 0.3840027 0.5043554
## 1.10 1 10 0.021326003 0.004029894 0.04498734 0.3401943 0.5894624
## 1.11 1 11 0.000000000 0.000000000 0.10808791 0.4394299 0.4524821
## 1.12 1 12 0.000000000 0.000000000 0.03434029 0.2693713 0.6962884
## 1.13 1 13 0.019869097 0.005806878 0.02835624 0.2596395 0.6863283
## 1.14 1 14 0.055557532 0.007173087 0.11934062 0.3354470 0.4824818
## 1.15 1 15 0.021540867 0.000000000 0.16114363 0.2373024 0.5800131
## se.m7p31 se.m7p32 se.m7p33 se.m7p34 se.m7p35 ci_l.m7p31
## 1.1 0.004447963 0.008242291 0.006779729 0.05459886 0.05553988 -0.0043504018
## 1.2 0.006076933 0.000000000 0.060473959 0.04925778 0.05874322 -0.0034507324
## 1.3 0.000000000 0.016069779 0.016680698 0.07528911 0.07143857 0.0000000000
## 1.4 0.006267432 0.007523795 0.052191190 0.13812458 0.14075268 -0.0062015837
## 1.5 0.010950227 0.011391280 0.068733392 0.09033005 0.09001647 -0.0110669726
## 1.6 0.013503023 0.000000000 0.060660453 0.05202665 0.05260802 0.0117038939
## 1.7 0.009781541 0.004092466 0.028058160 0.04193207 0.04562894 -0.0005607822
## 1.8 0.101255594 0.006838396 0.034825894 0.13371809 0.06292703 -0.0381957602
## 1.9 0.016224854 0.005540183 0.024307275 0.10162487 0.10212084 -0.0066801813
## 1.10 0.010787902 0.004045870 0.019915391 0.05593615 0.05488062 0.0001821026
## 1.11 0.000000000 0.000000000 0.046240556 0.05924714 0.06468231 0.0000000000
## 1.12 0.000000000 0.000000000 0.016589836 0.06200227 0.06201601 0.0000000000
## 1.13 0.013388187 0.005902737 0.015335744 0.06322931 0.06899479 -0.0063712676
## 1.14 0.029008291 0.005315185 0.027113692 0.07023738 0.07485002 -0.0012976740
## 1.15 0.013713332 0.000000000 0.054276167 0.05918789 0.07814914 -0.0053367711
## ci_l.m7p32 ci_l.m7p33 ci_l.m7p34 ci_l.m7p35 ci_u.m7p31 ci_u.m7p32
## 1.1 -0.008000762 -0.001919453 0.2829131 0.4773291 0.01308529 0.02430843
## 1.2 0.000000000 0.160037930 0.1074854 0.3938119 0.02037041 0.00000000
## 1.3 -0.009543503 0.003780492 0.1832655 0.4707268 0.00000000 0.05344887
## 1.4 -0.007401636 0.024445648 0.1287407 0.1845043 0.01836630 0.02209110
## 1.5 -0.010737608 0.049089846 0.1394689 0.3012697 0.03185713 0.03391539
## 1.6 0.000000000 0.062779487 0.3053806 0.2696981 0.06463477 0.00000000
## 1.7 -0.003690168 0.101304514 0.3115781 0.3375664 0.03778216 0.01235201
## 1.8 -0.004900897 -0.002294355 0.1396487 0.2402072 0.35871888 0.02190512
## 1.9 -0.005474960 0.033496974 0.1848217 0.3042022 0.05692008 0.01624216
## 1.10 -0.003899866 0.005953895 0.2305615 0.4818984 0.04246990 0.01195965
## 1.11 0.000000000 0.017458087 0.3233077 0.3257071 0.00000000 0.00000000
## 1.12 0.000000000 0.001824804 0.1478491 0.5747392 0.00000000 0.00000000
## 1.13 -0.005762275 -0.001701263 0.1357123 0.5511010 0.04610946 0.01737603
## 1.14 -0.003244484 0.066198758 0.1977842 0.3357785 0.11241274 0.01759066
## 1.15 0.000000000 0.054764302 0.1212962 0.4268436 0.04841850 0.00000000
## ci_u.m7p33 ci_u.m7p34 ci_u.m7p35 DEff.m7p31 DEff.m7p32 DEff.m7p33
## 1.1 0.02465660 0.4969367 0.6950414 0.5379055 0.9931161 0.4834979
## 1.2 0.39709149 0.3005724 0.6240811 0.4452083 NaN 1.8402632
## 1.3 0.06916763 0.4783934 0.7507608 NaN 0.7943526 0.5229040
## 1.4 0.22903135 0.6701791 0.7362447 0.5270410 0.6297772 1.9963145
## 1.5 0.31851979 0.4935562 0.6541277 1.0262519 0.9973852 2.7725665
## 1.6 0.30056410 0.5093213 0.4759178 0.8049101 NaN 4.0113896
## 1.7 0.21129048 0.4759488 0.5164286 1.5299096 1.1343055 1.7435400
## 1.8 0.13422064 0.6638139 0.4868766 6.4789945 0.4717727 1.6741029
## 1.9 0.12877974 0.5831838 0.7045085 1.1291929 0.6021385 0.8324778
## 1.10 0.08402079 0.4498271 0.6970265 0.8981038 0.6568769 1.4868878
## 1.11 0.19871774 0.5555522 0.5792572 NaN NaN 2.1523038
## 1.12 0.06685577 0.3908936 0.8178375 NaN NaN 0.7476795
## 1.13 0.05841375 0.3835666 0.8215556 0.7367067 0.4830663 0.6832305
## 1.14 0.17248248 0.4731097 0.6291851 1.4808742 0.3663106 0.6459120
## 1.15 0.26752297 0.3533085 0.7331826 0.6348084 NaN 1.5505298
## DEff.m7p34 DEff.m7p35
## 1.1 1.481539 1.503416
## 1.2 1.510871 1.396308
## 1.3 1.691081 1.417790
## 1.4 6.450809 6.468403
## 1.5 3.320782 2.859342
## 1.6 1.817122 1.918301
## 1.7 2.151146 2.485157
## 1.8 6.326905 1.455436
## 1.9 4.586309 4.382260
## 1.10 2.245133 2.004605
## 1.11 1.382840 1.638808
## 1.12 1.759650 1.638387
## 1.13 1.664701 1.769859
## 1.14 2.043504 2.071904
## 1.15 1.377126 1.783764## person m7p4 se ci_l ci_u DEff.m7p4
## 1 1 2.13036 0.0814697 1.970682 2.290038 3.876576## person Age m7p4 se ci_l ci_u DEff.m7p4
## 1.17-24 1 17-24 2.433969 0.1690877 2.102563 2.765375 2.087895
## 1.25-44 1 25-44 2.291169 0.1337580 2.029008 2.553330 4.545019
## 1.45-64 1 45-64 1.501210 0.1250754 1.256066 1.746353 2.592399
## 1.65+ 1 65+ 1.805308 0.1347506 1.541202 2.069414 3.476795## person Educational_level m7p4 se ci_l ci_u DEff.m7p4
## 1.Low 1 Low 1.880700 0.1532257 1.580383 2.181017 2.716302
## 1.Mid 1 Mid 2.124447 0.1348767 1.860094 2.388801 5.057381
## 1.High 1 High 2.270652 0.1238527 2.027906 2.513399 2.938214## person Area m7p4 se ci_l ci_u DEff.m7p4
## 1.Urban 1 Urban 2.154649 0.08812235 1.981932 2.327365 3.858434
## 1.Rural 1 Rural 1.876697 0.14605116 1.590442 2.162952 2.191303## person Region m7p4 se ci_l ci_u DEff.m7p4
## 1.1 1 1 2.136485 0.1769195 1.789729 2.483241 1.301988
## 1.2 1 2 2.379134 0.2135501 1.960583 2.797685 2.281331
## 1.3 1 3 2.412030 0.2509333 1.920210 2.903850 1.325475
## 1.4 1 4 2.411406 0.2358123 1.949222 2.873590 2.071183
## 1.5 1 5 2.778610 0.3275686 2.136587 3.420633 2.006312
## 1.6 1 6 2.427550 0.1889074 2.057299 2.797802 1.843294
## 1.7 1 7 2.187688 0.1585780 1.876881 2.498495 2.194484
## 1.8 1 8 1.730300 0.3246381 1.094021 2.366579 5.266598
## 1.9 1 9 1.886396 0.2059968 1.482650 2.290143 2.162511
## 1.10 1 10 1.855464 0.1480021 1.565386 2.145543 1.523459
## 1.11 1 11 1.887528 0.1840964 1.526706 2.248350 2.189258
## 1.12 1 12 1.677939 0.1916985 1.302217 2.053661 2.435349
## 1.13 1 13 1.860784 0.2106230 1.447971 2.273597 1.582678
## 1.14 1 14 2.120625 0.1574632 1.812002 2.429247 1.269309
## 1.15 1 15 1.998964 0.2850375 1.440301 2.557628 2.364335## person m7p51 m7p52 se.m7p51 se.m7p52 ci_l.m7p51 ci_l.m7p52
## 1 1 0.7146843 0.2853157 0.02038928 0.02038928 0.6747221 0.2453534
## ci_u.m7p51 ci_u.m7p52 DEff.m7p51 DEff.m7p52
## 1 0.7546466 0.3252779 3.473474 3.473474## person Age m7p51 m7p52 se.m7p51 se.m7p52 ci_l.m7p51
## 1.17-24 1 17-24 0.6849764 0.3150236 0.05090180 0.05090180 0.5852107
## 1.25-44 1 25-44 0.7208525 0.2791475 0.03220272 0.03220272 0.6577364
## 1.45-64 1 45-64 0.6868527 0.3131473 0.07272611 0.07272611 0.5443122
## 1.65+ 1 65+ 0.7363257 0.2636743 0.02855574 0.02855574 0.6803574
## ci_l.m7p52 ci_u.m7p51 ci_u.m7p52 DEff.m7p51 DEff.m7p52
## 1.17-24 0.2152579 0.7847421 0.4147893 2.966700 2.966700
## 1.25-44 0.2160313 0.7839687 0.3422636 3.464468 3.464468
## 1.45-64 0.1706067 0.8293933 0.4556878 3.862640 3.862640
## 1.65+ 0.2077061 0.7922939 0.3196426 2.622373 2.622373## person Educational_level m7p51 m7p52 se.m7p51 se.m7p52
## 1.Low 1 Low 0.7022502 0.2977498 0.03926849 0.03926849
## 1.Mid 1 Mid 0.6597168 0.3402832 0.02995848 0.02995848
## 1.High 1 High 0.8041191 0.1958809 0.02824990 0.02824990
## ci_l.m7p51 ci_l.m7p52 ci_u.m7p51 ci_u.m7p52 DEff.m7p51 DEff.m7p52
## 1.Low 0.6252854 0.2207850 0.7792150 0.3747146 2.781778 2.781778
## 1.Mid 0.6009992 0.2815657 0.7184343 0.3990008 3.383744 3.383744
## 1.High 0.7487503 0.1405122 0.8594878 0.2512497 2.422743 2.422743## person Area m7p51 m7p52 se.m7p51 se.m7p52 ci_l.m7p51
## 1.Urban 1 Urban 0.7192789 0.2807211 0.02177372 0.02177372 0.6766032
## 1.Rural 1 Rural 0.6684985 0.3315015 0.05497506 0.05497506 0.5607494
## ci_l.m7p52 ci_u.m7p51 ci_u.m7p52 DEff.m7p51 DEff.m7p52
## 1.Urban 0.2380454 0.7619546 0.3233968 3.478765 3.478765
## 1.Rural 0.2237523 0.7762477 0.4392506 3.015815 3.015815## person Region m7p51 m7p52 se.m7p51 se.m7p52 ci_l.m7p51
## 1.1 1 1 0.6447396 0.3552604 0.04576851 0.04576851 0.5550349
## 1.2 1 2 0.7710045 0.2289955 0.04316412 0.04316412 0.6864044
## 1.3 1 3 0.6829361 0.3170639 0.07174792 0.07174792 0.5423128
## 1.4 1 4 0.8032401 0.1967599 0.03820167 0.03820167 0.7283662
## 1.5 1 5 0.8630545 0.1369455 0.04013914 0.04013914 0.7843832
## 1.6 1 6 0.8647776 0.1352224 0.03387051 0.03387051 0.7983926
## 1.7 1 7 0.6983373 0.3016627 0.03829407 0.03829407 0.6232823
## 1.8 1 8 0.8306578 0.1693422 0.06713268 0.06713268 0.6990801
## 1.9 1 9 0.6307347 0.3692653 0.06824885 0.06824885 0.4969695
## 1.10 1 10 0.6130863 0.3869137 0.05302534 0.05302534 0.5091585
## 1.11 1 11 0.6938623 0.3061377 0.06136442 0.06136442 0.5735902
## 1.12 1 12 0.6393528 0.3606472 0.05982700 0.05982700 0.5220940
## 1.13 1 13 0.6825522 0.3174478 0.08911462 0.08911462 0.5078908
## 1.14 1 14 0.8481812 0.1518188 0.04120817 0.04120817 0.7674146
## 1.15 1 15 0.6547526 0.3452474 0.09890337 0.09890337 0.4609056
## ci_l.m7p52 ci_u.m7p51 ci_u.m7p52 DEff.m7p51 DEff.m7p52
## 1.1 0.26555581 0.7344442 0.4449651 1.0812165 1.0812165
## 1.2 0.14439533 0.8556047 0.3135956 1.0671578 1.0671578
## 1.3 0.17644052 0.8235595 0.4576872 1.5701197 1.5701197
## 1.4 0.12188597 0.8781140 0.2716338 0.7489801 0.7489801
## 1.5 0.05827422 0.9417258 0.2156168 1.2001833 1.2001833
## 1.6 0.06883744 0.9311626 0.2016074 1.5899698 1.5899698
## 1.7 0.22660771 0.7733923 0.3767177 2.0329710 2.0329710
## 1.8 0.03776457 0.9622354 0.3009199 2.7247308 2.7247308
## 1.9 0.23549998 0.7645000 0.5030305 2.1007865 2.1007865
## 1.10 0.28298596 0.7170140 0.4908415 1.9091108 1.9091108
## 1.11 0.18586565 0.8141344 0.4264098 1.7202827 1.7202827
## 1.12 0.24338845 0.7566116 0.4779060 1.3983973 1.3983973
## 1.13 0.14278631 0.8572137 0.4921092 2.9336142 2.9336142
## 1.14 0.07105229 0.9289477 0.2325854 1.2177125 1.2177125
## 1.15 0.15140036 0.8485996 0.5390944 3.0787686 3.0787686## person m7p61 m7p62 se.m7p61 se.m7p62 ci_l.m7p61 ci_l.m7p62
## 1 1 0.604958 0.395042 0.02782034 0.02782034 0.5504311 0.3405152
## ci_u.m7p61 ci_u.m7p62 DEff.m7p61 DEff.m7p62
## 1 0.6594848 0.4495689 3.933326 3.933326## person Age m7p61 m7p62 se.m7p61 se.m7p62 ci_l.m7p61
## 1.17-24 1 17-24 0.6033083 0.3966917 0.05662091 0.05662091 0.4923333
## 1.25-44 1 25-44 0.5914696 0.4085304 0.04216557 0.04216557 0.5088266
## 1.45-64 1 45-64 0.4263093 0.5736907 0.08528918 0.08528918 0.2591456
## 1.65+ 1 65+ 0.6799133 0.3200867 0.04176162 0.04176162 0.5980621
## ci_l.m7p62 ci_u.m7p61 ci_u.m7p62 DEff.m7p61 DEff.m7p62
## 1.17-24 0.2857168 0.7142832 0.5076667 2.411967 2.411967
## 1.25-44 0.3258874 0.6741126 0.4911734 3.658324 3.658324
## 1.45-64 0.4065269 0.5934731 0.7408544 3.184081 3.184081
## 1.65+ 0.2382354 0.7617646 0.4019379 3.423766 3.423766## person Educational_level m7p61 m7p62 se.m7p61 se.m7p62
## 1.Low 1 Low 0.5795160 0.4204840 0.06016734 0.06016734
## 1.Mid 1 Mid 0.5923026 0.4076974 0.03597881 0.03597881
## 1.High 1 High 0.6323580 0.3676420 0.04265497 0.04265497
## ci_l.m7p61 ci_l.m7p62 ci_u.m7p61 ci_u.m7p62 DEff.m7p61 DEff.m7p62
## 1.Low 0.4615902 0.3025582 0.6974418 0.5384098 3.582111 3.582111
## 1.Mid 0.5217854 0.3371803 0.6628197 0.4782146 3.153443 3.153443
## 1.High 0.5487557 0.2840398 0.7159602 0.4512443 2.998525 2.998525## person Area m7p61 m7p62 se.m7p61 se.m7p62 ci_l.m7p61
## 1.Urban 1 Urban 0.6053002 0.3946998 0.02958868 0.02958868 0.5473075
## 1.Rural 1 Rural 0.6012562 0.3987438 0.07514885 0.07514885 0.4539672
## ci_l.m7p62 ci_u.m7p61 ci_u.m7p62 DEff.m7p61 DEff.m7p62
## 1.Urban 0.3367070 0.6632930 0.4526925 3.900607 3.900607
## 1.Rural 0.2514547 0.7485453 0.5460328 3.511942 3.511942## person Region m7p61 m7p62 se.m7p61 se.m7p62 ci_l.m7p61
## 1.1 1 1 0.5754475 0.4245525 0.06603437 0.06603437 0.4460226
## 1.2 1 2 0.5961589 0.4038411 0.06979497 0.06979497 0.4593632
## 1.3 1 3 0.6082578 0.3917422 0.08129817 0.08129817 0.4489163
## 1.4 1 4 0.5433008 0.4566992 0.13775429 0.13775429 0.2733074
## 1.5 1 5 0.5787319 0.4212681 0.10032474 0.10032474 0.3820990
## 1.6 1 6 0.7028168 0.2971832 0.05622045 0.05622045 0.5926268
## 1.7 1 7 0.6207270 0.3792730 0.05314521 0.05314521 0.5165643
## 1.8 1 8 0.7638356 0.2361644 0.09953694 0.09953694 0.5687468
## 1.9 1 9 0.4823661 0.5176339 0.07805791 0.07805791 0.3293754
## 1.10 1 10 0.4982158 0.5017842 0.07114922 0.07114922 0.3587658
## 1.11 1 11 0.5256653 0.4743347 0.07187306 0.07187306 0.3847967
## 1.12 1 12 0.6624916 0.3375084 0.09467477 0.09467477 0.4769324
## 1.13 1 13 0.4577739 0.5422261 0.10009162 0.10009162 0.2615980
## 1.14 1 14 0.7042811 0.2957189 0.07206134 0.07206134 0.5630435
## 1.15 1 15 0.7272453 0.2727547 0.06964142 0.06964142 0.5907506
## ci_l.m7p62 ci_u.m7p61 ci_u.m7p62 DEff.m7p61 DEff.m7p62
## 1.1 0.29512748 0.7048725 0.5539774 1.394923 1.394923
## 1.2 0.26704549 0.7329545 0.5406368 1.499089 1.499089
## 1.3 0.23240070 0.7675993 0.5510837 1.276840 1.276840
## 1.4 0.18670570 0.8132943 0.7266926 4.671287 4.671287
## 1.5 0.22463526 0.7753647 0.6179010 2.808548 2.808548
## 1.6 0.18699309 0.8130069 0.4073732 1.952906 1.952906
## 1.7 0.27511032 0.7248897 0.4834357 2.555822 2.555822
## 1.8 0.04107559 0.9589244 0.4312532 3.626672 3.626672
## 1.9 0.36464320 0.6353568 0.6706246 1.733382 1.733382
## 1.10 0.36233432 0.6376657 0.6412342 2.046002 2.046002
## 1.11 0.33346612 0.6665339 0.6152033 1.347196 1.347196
## 1.12 0.15194928 0.8480507 0.5230676 2.166663 2.166663
## 1.13 0.34605009 0.6539499 0.7384020 2.099817 2.099817
## 1.14 0.15448129 0.8455187 0.4369565 1.751142 1.751142
## 1.15 0.13626004 0.8637400 0.4092494 1.274389 1.274389## person m7p7a se ci_l ci_u DEff.m7p7a
## 1 1 3.568886 0.1458635 3.282999 3.854773 3.125123## person Age m7p7a se ci_l ci_u DEff.m7p7a
## 1.17-24 1 17-24 4.008743 0.2907418 3.438900 4.578586 1.972676
## 1.25-44 1 25-44 3.979947 0.2749997 3.440958 4.518937 3.412486
## 1.45-64 1 45-64 2.237256 0.1357445 1.971202 2.503310 1.487803
## 1.65+ 1 65+ 2.930360 0.2240318 2.491266 3.369454 3.751946## person Educational_level m7p7a se ci_l ci_u DEff.m7p7a
## 1.Low 1 Low 3.211024 0.3103263 2.602796 3.819252 3.362565
## 1.Mid 1 Mid 3.636611 0.2543347 3.138124 4.135098 3.709882
## 1.High 1 High 3.657543 0.1829857 3.298897 4.016188 2.212170## person Area m7p7a se ci_l ci_u DEff.m7p7a
## 1.Urban 1 Urban 3.517580 0.1348577 3.253264 3.781896 2.648854
## 1.Rural 1 Rural 4.086334 0.8554962 2.409592 5.763075 6.279714## person Region m7p7a se ci_l ci_u DEff.m7p7a
## 1.1 1 1 3.350478 0.3228997 2.717606 3.983349 1.155395
## 1.2 1 2 4.888886 0.8036746 3.313713 6.464060 3.016446
## 1.3 1 3 3.618199 0.4835100 2.670537 4.565861 1.513636
## 1.4 1 4 3.837779 0.5135243 2.831290 4.844269 1.767387
## 1.5 1 5 6.381691 1.4321694 3.574691 9.188692 4.513142
## 1.6 1 6 3.395885 0.2965787 2.814601 3.977169 1.830808
## 1.7 1 7 3.523724 0.2370460 3.059123 3.988326 1.597341
## 1.8 1 8 3.837251 0.4784862 2.899435 4.775066 1.653408
## 1.9 1 9 2.839903 0.2453931 2.358941 3.320865 1.128452
## 1.10 1 10 2.990044 0.2907933 2.420099 3.559988 1.529738
## 1.11 1 11 3.397421 0.5053528 2.406948 4.387894 3.495098
## 1.12 1 12 2.965298 0.4308451 2.120857 3.809739 2.195066
## 1.13 1 13 3.572826 0.5545162 2.485995 4.659658 1.840815
## 1.14 1 14 3.605346 0.3821912 2.856265 4.354427 1.371770
## 1.15 1 15 3.010900 0.2949662 2.432777 3.589023 1.455909## person m7p7b se ci_l ci_u DEff.m7p7b
## 1 1 6.180561 0.1929342 5.802417 6.558705 3.722882## person Age m7p7b se ci_l ci_u DEff.m7p7b
## 1.17-24 1 17-24 8.079615 0.4655153 7.167222 8.992009 2.642970
## 1.25-44 1 25-44 6.542274 0.2832119 5.987189 7.097359 2.803772
## 1.45-64 1 45-64 4.449411 0.2938960 3.873385 5.025436 2.191922
## 1.65+ 1 65+ 4.570505 0.2280102 4.123613 5.017397 2.708449## person Educational_level m7p7b se ci_l ci_u DEff.m7p7b
## 1.Low 1 Low 5.017494 0.2779363 4.472749 5.562239 2.324968
## 1.Mid 1 Mid 6.526337 0.2815634 5.974483 7.078191 3.752128
## 1.High 1 High 6.357531 0.3619389 5.648143 7.066918 3.216602## person Area m7p7b se ci_l ci_u DEff.m7p7b
## 1.Urban 1 Urban 6.198050 0.2065489 5.793221 6.602878 3.721164
## 1.Rural 1 Rural 6.046295 0.5363558 4.995057 7.097533 3.570317## person Region m7p7b se ci_l ci_u DEff.m7p7b
## 1.1 1 1 7.138087 0.6982914 5.769461 8.506713 2.107668
## 1.2 1 2 7.661592 0.7015305 6.286617 9.036566 2.550262
## 1.3 1 3 4.480973 0.4856349 3.529146 5.432799 1.597682
## 1.4 1 4 6.374194 0.7789900 4.847402 7.900986 3.465267
## 1.5 1 5 8.069711 1.2484614 5.622772 10.516650 3.847265
## 1.6 1 6 5.010842 0.3469515 4.330829 5.690854 1.395632
## 1.7 1 7 6.519678 0.3674714 5.799448 7.239909 2.122729
## 1.8 1 8 5.385488 0.2635352 4.868968 5.902007 1.256041
## 1.9 1 9 5.838822 0.4450499 4.966540 6.711104 2.148735
## 1.10 1 10 5.778998 0.6481013 4.508743 7.049253 3.415945
## 1.11 1 11 6.680691 0.5618982 5.579390 7.781991 1.847971
## 1.12 1 12 6.614667 1.0094630 4.636155 8.593178 4.529193
## 1.13 1 13 6.040226 0.5109706 5.038742 7.041710 1.529575
## 1.14 1 14 6.592895 0.6576449 5.303934 7.881855 1.805258
## 1.15 1 15 5.338122 0.4293758 4.496561 6.179683 1.561777## person m7p8b se ci_l ci_u DEff.m7p8b
## 1 1 0.67844 0.06405638 0.5528918 0.8039882 3.06222## person Age m7p8b se ci_l ci_u DEff.m7p8b
## 1.17-24 1 17-24 0.9460577 0.15263075 0.6469069 1.2452084 2.079528
## 1.25-44 1 25-44 0.7048346 0.09004703 0.5283457 0.8813236 3.370660
## 1.45-64 1 45-64 0.3705963 0.12328876 0.1289548 0.6122379 2.438348
## 1.65+ 1 65+ 0.2717641 0.08585750 0.1034865 0.4400417 1.893681## person Educational_level m7p8b se ci_l ci_u
## 1.Low 1 Low 0.5237441 0.1754623 0.1798442 0.8676439
## 1.Mid 1 Mid 0.5471043 0.0730486 0.4039317 0.6902770
## 1.High 1 High 0.9118475 0.1306638 0.6557512 1.1679437
## DEff.m7p8b
## 1.Low 3.208043
## 1.Mid 3.068262
## 1.High 3.017237## person Area m7p8b se ci_l ci_u DEff.m7p8b
## 1.Urban 1 Urban 0.6792356 0.0674099 0.5471146 0.8113566 2.945427
## 1.Rural 1 Rural 0.6693749 0.2016595 0.2741296 1.0646202 4.532368## person Region m7p8b se ci_l ci_u DEff.m7p8b
## 1.1 1 1 0.4440348 0.1145542 0.21951270 0.6685569 2.3464583
## 1.2 1 2 0.6162378 0.1708938 0.28129218 0.9511835 1.0793323
## 1.3 1 3 0.7061031 0.1967742 0.32043275 1.0917734 1.5138908
## 1.4 1 4 0.9597653 0.2625470 0.44518261 1.4743481 2.2245545
## 1.5 1 5 1.2275176 0.3272438 0.58613165 1.8689036 2.6976892
## 1.6 1 6 0.9522054 0.1640151 0.63074168 1.2736692 1.8550255
## 1.7 1 7 0.6865643 0.1174631 0.45634089 0.9167877 1.8423125
## 1.8 1 8 0.6543005 0.2008502 0.26064147 1.0479596 2.2240721
## 1.9 1 9 0.4146392 0.1480739 0.12441969 0.7048588 1.7519266
## 1.10 1 10 0.4846406 0.1686237 0.15414414 0.8151371 1.5400831
## 1.11 1 11 0.4836743 0.2037012 0.08442721 0.8829214 2.3325927
## 1.12 1 12 0.5553360 0.1584376 0.24480402 0.8658680 1.8961983
## 1.13 1 13 0.6590858 0.1754133 0.31528209 1.0028896 1.5532721
## 1.14 1 14 0.8390353 0.1651748 0.51529872 1.1627719 1.4597069
## 1.15 1 15 0.8146366 0.3619083 0.10530940 1.5239638 0.6401686## person m7p91 m7p92 m7p93 m7p94 m7p95 se.m7p91
## 1 1 0.3728091 0.3739202 0.1809103 0.05564633 0.0167141 0.01606543
## se.m7p92 se.m7p93 se.m7p94 se.m7p95 ci_l.m7p91 ci_l.m7p92 ci_l.m7p93
## 1 0.01689639 0.01280062 0.00942729 0.004576846 0.3413214 0.3408039 0.1558215
## ci_l.m7p94 ci_l.m7p95 ci_u.m7p91 ci_u.m7p92 ci_u.m7p93 ci_u.m7p94 ci_u.m7p95
## 1 0.03716918 0.007743648 0.4042967 0.4070365 0.2059991 0.07412348 0.02568455
## DEff.m7p91 DEff.m7p92 DEff.m7p93 DEff.m7p94 DEff.m7p95
## 1 3.139605 3.468615 3.14517 4.810379 3.625321## person Age m7p91 m7p92 m7p93 m7p94 m7p95
## 1.17-24 1 17-24 0.3997644 0.3602667 0.1551096 0.060961325 0.023898045
## 1.25-44 1 25-44 0.3206217 0.3993850 0.2241817 0.051591598 0.004220038
## 1.45-64 1 45-64 0.3264299 0.5273301 0.1372564 0.008983631 0.000000000
## 1.65+ 1 65+ 0.4400035 0.3081747 0.1486579 0.069470639 0.033693248
## se.m7p91 se.m7p92 se.m7p93 se.m7p94 se.m7p95 ci_l.m7p91
## 1.17-24 0.03603673 0.03676458 0.02208351 0.022846146 0.018372934 0.3291337
## 1.25-44 0.02709302 0.02548657 0.02449625 0.015294550 0.002961353 0.2675204
## 1.45-64 0.04539157 0.05866036 0.03470865 0.006270733 0.000000000 0.2374640
## 1.65+ 0.02507274 0.02455326 0.01820537 0.017765876 0.007003616 0.3908618
## ci_l.m7p92 ci_l.m7p93 ci_l.m7p94 ci_l.m7p95 ci_u.m7p91 ci_u.m7p92
## 1.17-24 0.2882094 0.1118267 0.016183703 -0.012112244 0.4703951 0.4323239
## 1.25-44 0.3494322 0.1761699 0.021614830 -0.001584108 0.3737231 0.4493378
## 1.45-64 0.4123579 0.0692287 -0.003306781 0.000000000 0.4153957 0.6423023
## 1.65+ 0.2600512 0.1129761 0.034650163 0.019966413 0.4891451 0.3562982
## ci_u.m7p93 ci_u.m7p94 ci_u.m7p95 DEff.m7p91 DEff.m7p92 DEff.m7p93
## 1.17-24 0.1983925 0.10573895 0.05990833 2.084261 2.258517 1.433126
## 1.25-44 0.2721934 0.08156837 0.01002418 3.205900 2.576172 3.282305
## 1.45-64 0.2052841 0.02127404 0.00000000 2.334606 3.439417 2.534528
## 1.65+ 0.1843398 0.10429112 0.04742008 3.204119 3.551169 3.288920
## DEff.m7p94 DEff.m7p95
## 1.17-24 3.511359 5.572970
## 1.25-44 4.548193 1.985366
## 1.45-64 1.100373 NaN
## 1.65+ 6.131807 1.892054## person Educational_level m7p91 m7p92 m7p93 m7p94
## 1.Low 1 Low 0.4666769 0.3405434 0.1187312 0.05631736
## 1.Mid 1 Mid 0.4058717 0.3791584 0.1530120 0.04501312
## 1.High 1 High 0.2343752 0.3902684 0.2842118 0.07568350
## m7p95 se.m7p91 se.m7p92 se.m7p93 se.m7p94 se.m7p95
## 1.Low 0.01773116 0.02822588 0.03064701 0.02403379 0.02095988 0.006137745
## 1.Mid 0.01694472 0.02249086 0.02205892 0.01571180 0.01213284 0.007738238
## 1.High 0.01546103 0.02926733 0.03882478 0.02857014 0.02029371 0.006939208
## ci_l.m7p91 ci_l.m7p92 ci_l.m7p93 ci_l.m7p94 ci_l.m7p95 ci_u.m7p91
## 1.Low 0.4113552 0.2804764 0.07162583 0.01523675 0.005701399 0.5219986
## 1.Mid 0.3617904 0.3359238 0.12221746 0.02123319 0.001778057 0.4499530
## 1.High 0.1770123 0.3141733 0.22821536 0.03590855 0.001860431 0.2917382
## ci_u.m7p92 ci_u.m7p93 ci_u.m7p94 ci_u.m7p95 DEff.m7p91 DEff.m7p92
## 1.Low 0.4006105 0.1658365 0.09739796 0.02976092 2.709807 3.540525
## 1.Mid 0.4223931 0.1838066 0.06879304 0.03211139 2.910768 2.868346
## 1.High 0.4663636 0.3402083 0.11545844 0.02906163 2.903366 3.852823
## DEff.m7p93 DEff.m7p94 DEff.m7p95
## 1.Low 4.673274 6.997765 1.831050
## 1.Mid 2.643098 4.751741 4.988111
## 1.High 2.440401 3.580670 1.924029## person Area m7p91 m7p92 m7p93 m7p94 m7p95
## 1.Urban 1 Urban 0.352703 0.3812044 0.187770 0.062163080 0.01615956
## 1.Rural 1 Rural 0.517032 0.3216700 0.131705 0.008901024 0.02069191
## se.m7p91 se.m7p92 se.m7p93 se.m7p94 se.m7p95 ci_l.m7p91
## 1.Urban 0.01737961 0.01851648 0.01398606 0.010677917 0.005062173 0.3186396
## 1.Rural 0.03976639 0.03694861 0.03101680 0.003799201 0.008998777 0.4390913
## ci_l.m7p92 ci_l.m7p93 ci_l.m7p94 ci_l.m7p95 ci_u.m7p91 ci_u.m7p92
## 1.Urban 0.3449128 0.16035782 0.041234747 0.006237879 0.3867664 0.417496
## 1.Rural 0.2492521 0.07091319 0.001454727 0.003054628 0.5949727 0.394088
## ci_u.m7p93 ci_u.m7p94 ci_u.m7p95 DEff.m7p91 DEff.m7p92 DEff.m7p93
## 1.Urban 0.2151822 0.08309141 0.02608123 3.102508 3.408451 3.007674
## 1.Rural 0.1924968 0.01634732 0.03832919 3.155823 3.117888 4.192186
## DEff.m7p94 DEff.m7p95
## 1.Urban 4.5862596 3.779769
## 1.Rural 0.8153491 1.991421## person Region m7p91 m7p92 m7p93 m7p94 m7p95
## 1.1 1 1 0.2866769 0.5098959 0.1862409 0.005133840 0.012052521
## 1.2 1 2 0.2849375 0.4763518 0.1522069 0.080383222 0.006120543
## 1.3 1 3 0.4737756 0.3772696 0.1093588 0.037545181 0.002050768
## 1.4 1 4 0.3812620 0.3700883 0.1862692 0.053947201 0.008433347
## 1.5 1 5 0.3233766 0.4003392 0.2350840 0.031733218 0.009466969
## 1.6 1 6 0.4192202 0.2731191 0.2088952 0.069240997 0.029524493
## 1.7 1 7 0.3291076 0.3883611 0.1760757 0.083813183 0.022642461
## 1.8 1 8 0.4202072 0.3140263 0.1696130 0.091367436 0.004786143
## 1.9 1 9 0.3515334 0.3590107 0.2492635 0.023451013 0.016741405
## 1.10 1 10 0.4553446 0.4106682 0.1149218 0.008499416 0.010565990
## 1.11 1 11 0.3829300 0.3236182 0.2821564 0.011295383 0.000000000
## 1.12 1 12 0.3668491 0.4683639 0.1647870 0.000000000 0.000000000
## 1.13 1 13 0.4711532 0.3705816 0.1319555 0.015469955 0.010839731
## 1.14 1 14 0.2245386 0.4016114 0.2712816 0.058759794 0.043808656
## 1.15 1 15 0.3320881 0.4167939 0.1219196 0.096051425 0.033146949
## se.m7p91 se.m7p92 se.m7p93 se.m7p94 se.m7p95 ci_l.m7p91
## 1.1 0.04257784 0.05232942 0.03122681 0.003905797 0.007437820 0.2032258
## 1.2 0.05053917 0.05464368 0.03201954 0.047341738 0.004388494 0.1858826
## 1.3 0.05475179 0.04782334 0.03404971 0.014288980 0.002021575 0.3664641
## 1.4 0.04380809 0.06965438 0.06385717 0.028548565 0.006252668 0.2953997
## 1.5 0.04955637 0.04817088 0.06803660 0.016548361 0.007008873 0.2262479
## 1.6 0.03940762 0.03115620 0.03381597 0.036831772 0.009637793 0.3419827
## 1.7 0.02987671 0.03432795 0.02485601 0.018516474 0.010630102 0.2705503
## 1.8 0.09605432 0.04026762 0.05508629 0.067336222 0.003772816 0.2319442
## 1.9 0.07128105 0.08574154 0.04704951 0.011948291 0.010800918 0.2118251
## 1.10 0.04354378 0.04256688 0.02346512 0.005329910 0.006085229 0.3700004
## 1.11 0.04596146 0.04720716 0.05095112 0.009060121 0.000000000 0.2928472
## 1.12 0.05263772 0.04915296 0.03455926 0.000000000 0.000000000 0.2636811
## 1.13 0.05624019 0.05767164 0.03299656 0.008484706 0.007576775 0.3609245
## 1.14 0.03861961 0.05840139 0.04714000 0.018962352 0.021228389 0.1488455
## 1.15 0.05536696 0.05884344 0.02726969 0.031751598 0.014599806 0.2235708
## ci_l.m7p92 ci_l.m7p93 ci_l.m7p94 ci_l.m7p95 ci_u.m7p91 ci_u.m7p92
## 1.1 0.4073321 0.12503747 -0.0025213819 -0.002525338 0.3701279 0.6124597
## 1.2 0.3692522 0.08944971 -0.0124048787 -0.002480748 0.3839925 0.5834515
## 1.3 0.2835376 0.04262255 0.0095392945 -0.001911446 0.5810872 0.4710017
## 1.4 0.2335682 0.06111142 -0.0020069589 -0.003821658 0.4671242 0.5066084
## 1.5 0.3059260 0.10173471 -0.0007009745 -0.004270169 0.4205053 0.4947524
## 1.6 0.2120541 0.14261714 -0.0029479484 0.010634765 0.4964577 0.3341842
## 1.7 0.3210795 0.12735884 0.0475215604 0.001807844 0.3876649 0.4556426
## 1.8 0.2351032 0.06164581 -0.0406091340 -0.002608441 0.6084702 0.3929493
## 1.9 0.1909604 0.15704817 0.0000327927 -0.004428006 0.4912417 0.5270610
## 1.10 0.3272386 0.06893105 -0.0019470166 -0.001360840 0.5406888 0.4940977
## 1.11 0.2310939 0.18229407 -0.0064621275 0.000000000 0.4730128 0.4161425
## 1.12 0.3720258 0.09705211 0.0000000000 0.000000000 0.4700172 0.5647019
## 1.13 0.2575473 0.06728340 -0.0011597640 -0.004010476 0.5813820 0.4836160
## 1.14 0.2871467 0.17888892 0.0215942659 0.002201778 0.3002316 0.5160760
## 1.15 0.3014629 0.06847203 0.0338194366 0.004531855 0.4406053 0.5321249
## ci_u.m7p93 ci_u.m7p94 ci_u.m7p95 DEff.m7p91 DEff.m7p92 DEff.m7p93
## 1.1 0.2474443 0.01278906 0.026630380 1.536772 1.899517 1.115335
## 1.2 0.2149640 0.17317132 0.014721834 1.908086 1.821998 1.209321
## 1.3 0.1760950 0.06555107 0.006012982 1.528151 1.237203 1.512808
## 1.4 0.3114269 0.10990136 0.020688351 1.116184 2.855415 3.691093
## 1.5 0.3684333 0.06416741 0.023204107 1.650822 1.421649 3.786216
## 1.6 0.2751733 0.14142994 0.048414221 1.914369 1.467549 2.076826
## 1.7 0.2247926 0.12010481 0.043477078 1.722497 2.113726 1.814511
## 1.8 0.2775801 0.22334401 0.012180726 5.948673 1.182391 3.384310
## 1.9 0.3414788 0.04686923 0.037910816 4.304073 6.168932 2.284281
## 1.10 0.1609126 0.01894585 0.022492820 2.233311 2.187014 1.581322
## 1.11 0.3820188 0.02905289 0.000000000 1.413131 1.609308 2.025985
## 1.12 0.2325219 0.00000000 0.000000000 1.767362 1.437565 1.285685
## 1.13 0.1966275 0.03209967 0.025689938 1.816160 2.040111 1.359942
## 1.14 0.3636743 0.09592532 0.085415534 1.221417 2.023748 1.602870
## 1.15 0.1753673 0.15828341 0.061762043 1.856650 1.913612 0.933155
## DEff.m7p94 DEff.m7p95
## 1.1 0.5177659 0.8053795
## 1.2 4.6147846 0.4818843
## 1.3 0.7180938 0.2537861
## 1.4 2.1909963 0.6414551
## 1.5 1.3108646 0.7705013
## 1.6 6.3177679 0.9729874
## 1.7 1.9024091 2.1756121
## 1.8 8.5790739 0.4694095
## 1.9 1.2037646 1.3685080
## 1.10 0.9847290 1.0347033
## 1.11 1.1618468 NaN
## 1.12 NaN NaN
## 1.13 0.6762514 0.7660132
## 1.14 0.9270496 1.5340115
## 1.15 1.5598572 0.8934934## person m7p10a1 m7p10a2 m7p10a3 m7p10a4 m7p10a5 se.m7p10a1
## 1 1 0.6408548 0.2737274 0.05468652 0.01235755 0.01837379 0.02223368
## se.m7p10a2 se.m7p10a3 se.m7p10a4 se.m7p10a5 ci_l.m7p10a1 ci_l.m7p10a2
## 1 0.02047594 0.009475178 0.004743139 0.007377162 0.5972775 0.2335953
## ci_l.m7p10a3 ci_l.m7p10a4 ci_l.m7p10a5 ci_u.m7p10a1 ci_u.m7p10a2 ci_u.m7p10a3
## 1 0.03611551 0.003061171 0.003914821 0.684432 0.3138595 0.07325752
## ci_u.m7p10a4 ci_u.m7p10a5 DEff.m7p10a1 DEff.m7p10a2 DEff.m7p10a3 DEff.m7p10a4
## 1 0.02165393 0.03283277 3.618462 3.553044 2.925833 3.105491
## DEff.m7p10a5
## 1 5.08352## person Age m7p10a1 m7p10a2 m7p10a3 m7p10a4 m7p10a5
## 1.17-24 1 17-24 0.5752586 0.2905798 0.11294484 0.019102285 0.002114473
## 1.25-44 1 25-44 0.5838927 0.3431107 0.03423162 0.007834551 0.030930431
## 1.45-64 1 45-64 0.8220553 0.1563851 0.02155958 0.000000000 0.000000000
## 1.65+ 1 65+ 0.7366193 0.1751070 0.05466564 0.018734606 0.014873415
## se.m7p10a1 se.m7p10a2 se.m7p10a3 se.m7p10a4 se.m7p10a5 ci_l.m7p10a1
## 1.17-24 0.05326156 0.04932745 0.02782533 0.01011088 0.001131934 0.4708679
## 1.25-44 0.03699893 0.03618591 0.01473686 0.00614892 0.015796561 0.5113761
## 1.45-64 0.04967493 0.04807023 0.01202579 0.00000000 0.000000000 0.7246942
## 1.65+ 0.03263752 0.02888750 0.01474404 0.01243528 0.005859754 0.6726509
## ci_l.m7p10a2 ci_l.m7p10a3 ci_l.m7p10a4 ci_l.m7p10a5 ci_u.m7p10a1
## 1.17-24 0.19389979 0.058408197 -0.000714685 -1.040760e-04 0.6796493
## 1.25-44 0.27218766 0.005347914 -0.004217111 -3.025922e-05 0.6564092
## 1.45-64 0.06216921 -0.002010534 0.000000000 0.000000e+00 0.9194164
## 1.65+ 0.11848857 0.025767852 -0.005638098 3.388507e-03 0.8005877
## ci_u.m7p10a2 ci_u.m7p10a3 ci_u.m7p10a4 ci_u.m7p10a5 DEff.m7p10a1
## 1.17-24 0.3872598 0.16748148 0.03891926 0.004333023 2.775677
## 1.25-44 0.4140338 0.06311533 0.01988621 0.061891122 3.720032
## 1.45-64 0.2506010 0.04512969 0.00000000 0.000000000 2.548466
## 1.65+ 0.2317255 0.08356343 0.04310731 0.026358323 3.466641
## DEff.m7p10a2 DEff.m7p10a3 DEff.m7p10a4 DEff.m7p10a5
## 1.17-24 2.821872 1.847534 1.304362 0.1451737
## 1.25-44 3.835828 4.337265 3.211488 5.4965591
## 1.45-64 2.646081 1.035721 NaN NaN
## 1.65+ 3.647709 2.656041 5.311066 1.4796453## person Educational_level m7p10a1 m7p10a2 m7p10a3 m7p10a4
## 1.Low 1 Low 0.6908258 0.2212407 0.05895924 0.009815514
## 1.Mid 1 Mid 0.6437560 0.2654014 0.05879092 0.002737054
## 1.High 1 High 0.6088818 0.3152341 0.04616375 0.028204305
## m7p10a5 se.m7p10a1 se.m7p10a2 se.m7p10a3 se.m7p10a4 se.m7p10a5
## 1.Low 0.019158695 0.04935905 0.05026716 0.01781109 0.005335171 0.0079443303
## 1.Mid 0.029314647 0.02998489 0.02675395 0.01608424 0.001589619 0.0146397755
## 1.High 0.001516116 0.04340746 0.04146898 0.01338935 0.013892431 0.0009983401
## ci_l.m7p10a1 ci_l.m7p10a2 ci_l.m7p10a3 ci_l.m7p10a4 ci_l.m7p10a5
## 1.Low 0.5940839 0.1227189 0.02405016 -0.0006412283 0.0035880939
## 1.Mid 0.5849867 0.2129646 0.02726639 -0.0003785418 0.0006212140
## 1.High 0.5238047 0.2339564 0.01992111 0.0009756410 -0.0004405943
## ci_u.m7p10a1 ci_u.m7p10a2 ci_u.m7p10a3 ci_u.m7p10a4 ci_u.m7p10a5
## 1.Low 0.7875678 0.3197626 0.09386833 0.02027226 0.034729296
## 1.Mid 0.7025253 0.3178382 0.09031545 0.00585265 0.058008079
## 1.High 0.6939588 0.3965118 0.07240640 0.05543297 0.003472827
## DEff.m7p10a1 DEff.m7p10a2 DEff.m7p10a3 DEff.m7p10a4 DEff.m7p10a5
## 1.Low 4.336918 5.575963 2.173902 1.113492 1.2769368
## 1.Mid 3.267165 3.059549 3.896187 0.771486 6.2768361
## 1.High 3.712115 3.737705 1.910195 3.303694 0.3088994## person Area m7p10a1 m7p10a2 m7p10a3 m7p10a4 m7p10a5
## 1.Urban 1 Urban 0.6376599 0.2806778 0.05419854 0.012851691 0.01461210
## 1.Rural 1 Rural 0.6715694 0.2069080 0.05937783 0.007607037 0.05453769
## se.m7p10a1 se.m7p10a2 se.m7p10a3 se.m7p10a4 se.m7p10a5 ci_l.m7p10a1
## 1.Urban 0.02393631 0.02227523 0.01019294 0.005180075 0.007211153 0.5907456
## 1.Rural 0.05284976 0.03639162 0.02260036 0.007463214 0.035263139 0.5679858
## ci_l.m7p10a2 ci_l.m7p10a3 ci_l.m7p10a4 ci_l.m7p10a5 ci_u.m7p10a1
## 1.Urban 0.2370191 0.03422074 0.002698931 0.0004785047 0.6845742
## 1.Rural 0.1355818 0.01508194 -0.007020595 -0.0145767894 0.7751530
## ci_u.m7p10a2 ci_u.m7p10a3 ci_u.m7p10a4 ci_u.m7p10a5 DEff.m7p10a1
## 1.Urban 0.3243364 0.07417633 0.02300445 0.0287457 3.621949
## 1.Rural 0.2782343 0.10367372 0.02223467 0.1236522 2.825678
## DEff.m7p10a2 DEff.m7p10a3 DEff.m7p10a4 DEff.m7p10a5
## 1.Urban 3.589605 2.960362 3.089320 5.275006
## 1.Rural 1.800832 2.040621 1.646357 5.381114## person Region m7p10a1 m7p10a2 m7p10a3 m7p10a4 m7p10a5
## 1.1 1 1 0.6674295 0.2271136 0.06517962 0.000000000 0.040277188
## 1.2 1 2 0.6270434 0.2214549 0.13700012 0.000000000 0.014501602
## 1.3 1 3 0.6656521 0.2128389 0.09345394 0.000000000 0.028054997
## 1.4 1 4 0.5876493 0.3254629 0.06659353 0.011772127 0.008522147
## 1.5 1 5 0.5183064 0.2046673 0.07593378 0.084564177 0.116528259
## 1.6 1 6 0.5618722 0.2533172 0.14572806 0.021354314 0.017728280
## 1.7 1 7 0.6308149 0.3055455 0.03812640 0.011110681 0.014402558
## 1.8 1 8 0.5957157 0.3544939 0.04239429 0.005595202 0.001800848
## 1.9 1 9 0.7695713 0.1872815 0.03895134 0.000000000 0.004195847
## 1.10 1 10 0.6785666 0.2939221 0.01830903 0.000000000 0.009202279
## 1.11 1 11 0.6466015 0.2621040 0.07785225 0.013442300 0.000000000
## 1.12 1 12 0.8124806 0.1800858 0.00000000 0.007433633 0.000000000
## 1.13 1 13 0.7339360 0.1955654 0.02762807 0.000000000 0.042870571
## 1.14 1 14 0.6362776 0.2911870 0.04261377 0.000000000 0.029921593
## 1.15 1 15 0.6836353 0.2018948 0.10415567 0.010314226 0.000000000
## se.m7p10a1 se.m7p10a2 se.m7p10a3 se.m7p10a4 se.m7p10a5 ci_l.m7p10a1
## 1.1 0.05689179 0.04717889 0.028504098 0.000000000 0.032275802 0.5559237
## 1.2 0.08217756 0.05713273 0.066050292 0.000000000 0.010343013 0.4659783
## 1.3 0.07395075 0.06186589 0.052878605 0.000000000 0.017969773 0.5207113
## 1.4 0.09890676 0.09937105 0.047679820 0.012108875 0.006656650 0.3937956
## 1.5 0.06628116 0.05374046 0.029933263 0.060945839 0.069550834 0.3883978
## 1.6 0.05730423 0.04664583 0.061109477 0.012075316 0.012715214 0.4495580
## 1.7 0.04277682 0.04013576 0.012154762 0.007519028 0.014172068 0.5469738
## 1.8 0.06343719 0.06836741 0.030112296 0.005855278 0.001893412 0.4713811
## 1.9 0.07341010 0.06865608 0.024574238 0.000000000 0.004367924 0.6256902
## 1.10 0.04725629 0.04572420 0.009078097 0.000000000 0.006492333 0.5859459
## 1.11 0.07586165 0.06537038 0.037296957 0.012076021 0.000000000 0.4979154
## 1.12 0.04855258 0.04924895 0.000000000 0.007435897 0.000000000 0.7173193
## 1.13 0.06900375 0.05989434 0.016183321 0.000000000 0.031835299 0.5986911
## 1.14 0.08011653 0.08281135 0.022254980 0.000000000 0.014364279 0.4792521
## 1.15 0.07716179 0.05278943 0.071804050 0.009937695 0.000000000 0.5324010
## ci_l.m7p10a2 ci_l.m7p10a3 ci_l.m7p10a4 ci_l.m7p10a5 ci_u.m7p10a1
## 1.1 0.13464472 0.0093126152 0.000000000 -0.022982221 0.7789354
## 1.2 0.10947679 0.0075439221 0.000000000 -0.005770331 0.7881084
## 1.3 0.09158402 -0.0101862259 0.000000000 -0.007165111 0.8105929
## 1.4 0.13069923 -0.0268572001 -0.011960833 -0.004524647 0.7815030
## 1.5 0.09933799 0.0172656601 -0.034887472 -0.019788871 0.6482151
## 1.6 0.16189302 0.0259556816 -0.002312871 -0.007193082 0.6741864
## 1.7 0.22688085 0.0143034999 -0.003626342 -0.013374185 0.7146559
## 1.8 0.22049625 -0.0166247251 -0.005880931 -0.001910172 0.7200503
## 1.9 0.05271802 -0.0092132841 0.000000000 -0.004365127 0.9134525
## 1.10 0.20430436 0.0005162856 0.000000000 -0.003522459 0.7711872
## 1.11 0.13398036 0.0047515589 -0.010226266 0.000000000 0.7952876
## 1.12 0.08355961 0.0000000000 -0.007140458 0.000000000 0.9076419
## 1.13 0.07817461 -0.0040906599 0.000000000 -0.019525469 0.8691809
## 1.14 0.12887976 -0.0010051897 0.000000000 0.001768123 0.7933031
## 1.15 0.09842941 -0.0365776833 -0.009163298 0.000000000 0.8348696
## ci_u.m7p10a2 ci_u.m7p10a3 ci_u.m7p10a4 ci_u.m7p10a5 DEff.m7p10a1
## 1.1 0.3195826 0.12104663 0.00000000 0.103536596 1.694700
## 1.2 0.3334330 0.26645631 0.00000000 0.034773535 2.920274
## 1.3 0.3340938 0.19709410 0.00000000 0.063275105 1.549080
## 1.4 0.5202266 0.16004426 0.03550509 0.021568941 3.234156
## 1.5 0.3099967 0.13460190 0.20401583 0.252845390 1.566852
## 1.6 0.3447413 0.26550043 0.04502150 0.042649642 2.135193
## 1.7 0.3842101 0.06194929 0.02584770 0.042179301 2.231840
## 1.8 0.4884916 0.10141331 0.01707134 0.005511868 1.454439
## 1.9 0.3218449 0.08711596 0.00000000 0.012756820 3.161915
## 1.10 0.3835399 0.03610177 0.00000000 0.021927017 1.649075
## 1.11 0.3902275 0.15095294 0.03711087 0.000000000 2.418820
## 1.12 0.2766120 0.00000000 0.02200772 0.000000000 1.269953
## 1.13 0.3129561 0.05934679 0.00000000 0.105266612 1.902919
## 1.14 0.4534943 0.08623273 0.00000000 0.058075062 2.644347
## 1.15 0.3053602 0.24488902 0.02979175 0.000000000 2.041435
## DEff.m7p10a2 DEff.m7p10a3 DEff.m7p10a4 DEff.m7p10a5
## 1.1 1.473735 1.5497345 NaN 3.1320726
## 1.2 1.914582 3.7315637 NaN 0.7569989
## 1.3 1.440199 2.0806889 NaN 0.7465655
## 1.4 3.603350 2.9299514 1.0096937 0.4201201
## 1.5 1.579831 1.1370391 4.2724714 4.1839467
## 1.6 1.841310 4.8015331 1.1168325 1.4861109
## 1.7 2.156430 1.1443035 1.4615950 4.0190122
## 1.8 1.777963 1.9441381 0.5363514 0.1735919
## 1.9 3.222159 1.6784803 NaN 0.4750950
## 1.10 1.622602 0.7385063 NaN 0.7446048
## 1.11 2.122041 1.8609534 1.0561170 NaN
## 1.12 1.348244 NaN 0.6150754 NaN
## 1.13 1.779541 0.7608020 NaN 1.9275568
## 1.14 3.167868 1.1574659 NaN 0.6777462
## 1.15 1.282485 4.0975655 0.7174322 NaN## person m7p10b se ci_l ci_u DEff.m7p10b
## 1 1 2.470216 0.09585768 2.282338 2.658093 3.173231## person Age m7p10b se ci_l ci_u DEff.m7p10b
## 1.17-24 1 17-24 2.623758 0.1610983 2.308011 2.939505 2.034262
## 1.25-44 1 25-44 2.648783 0.1754346 2.304938 2.992629 4.066218
## 1.45-64 1 45-64 1.707157 0.1199145 1.472129 1.942185 2.123301
## 1.65+ 1 65+ 2.270857 0.1378182 2.000739 2.540976 1.712913## person Educational_level m7p10b se ci_l ci_u
## 1.Low 1 Low 2.302194 0.1522340 2.003821 2.600567
## 1.Mid 1 Mid 2.554108 0.1687465 2.223371 2.884845
## 1.High 1 High 2.437142 0.1212983 2.199402 2.674882
## DEff.m7p10b
## 1.Low 1.858129
## 1.Mid 3.650859
## 1.High 2.769549## person Area m7p10b se ci_l ci_u DEff.m7p10b
## 1.Urban 1 Urban 2.432328 0.08891144 2.258065 2.606591 2.809838
## 1.Rural 1 Rural 2.834455 0.53903083 1.777974 3.890936 5.346400## person Region m7p10b se ci_l ci_u DEff.m7p10b
## 1.1 1 1 2.428952 0.2896594 1.861230 2.996674 2.4510633
## 1.2 1 2 2.736235 0.3243593 2.100503 3.371968 1.8488213
## 1.3 1 3 3.094341 0.6931781 1.735737 4.452945 0.9136503
## 1.4 1 4 2.740422 0.2900774 2.171881 3.308963 1.2995471
## 1.5 1 5 4.310598 0.9524201 2.443889 6.177307 3.8335257
## 1.6 1 6 2.926627 0.2870021 2.364114 3.489141 2.2410763
## 1.7 1 7 2.307017 0.1504402 2.012159 2.601874 2.4128802
## 1.8 1 8 2.456114 0.1624192 2.137779 2.774450 1.0011162
## 1.9 1 9 2.026362 0.1872230 1.659412 2.393313 2.1425845
## 1.10 1 10 2.107052 0.1463441 1.820223 2.393881 1.5234673
## 1.11 1 11 2.439881 0.2493909 1.951084 2.928679 2.4398609
## 1.12 1 12 1.914420 0.1601667 1.600499 2.228340 1.7139516
## 1.13 1 13 2.358061 0.3182040 1.734393 2.981730 1.8560236
## 1.14 1 14 2.623373 0.2661552 2.101719 3.145028 0.9510610
## 1.15 1 15 2.237007 0.3209161 1.608023 2.865991 2.9369773## person m7p11a1 m7p11a2 m7p11a3 m7p11a4 m7p11a5 se.m7p11a1
## 1 1 0.4648277 0.3224515 0.1401499 0.0712838 0.001287034 0.02249853
## se.m7p11a2 se.m7p11a3 se.m7p11a4 se.m7p11a5 ci_l.m7p11a1 ci_l.m7p11a2
## 1 0.0217886 0.01771014 0.01339228 0.0006872233 0.4207314 0.2797467
## ci_l.m7p11a3 ci_l.m7p11a4 ci_l.m7p11a5 ci_u.m7p11a1 ci_u.m7p11a2
## 1 0.1054387 0.04503542 -5.989842e-05 0.508924 0.3651564
## ci_u.m7p11a3 ci_u.m7p11a4 ci_u.m7p11a5 DEff.m7p11a1 DEff.m7p11a2 DEff.m7p11a3
## 1 0.1748612 0.09753217 0.002633967 3.271469 3.493604 4.184544
## DEff.m7p11a4 DEff.m7p11a5
## 1 4.35567 0.5907244## person Age m7p11a1 m7p11a2 m7p11a3 m7p11a4 m7p11a5
## 1.17-24 1 17-24 0.3332843 0.4103845 0.17678841 0.07954281 0.000000e+00
## 1.25-44 1 25-44 0.4304736 0.3212710 0.16995459 0.07826925 3.153673e-05
## 1.45-64 1 45-64 0.5881056 0.3103757 0.08057609 0.02094262 0.000000e+00
## 1.65+ 1 65+ 0.5989348 0.2582958 0.07046138 0.06705498 5.253044e-03
## se.m7p11a1 se.m7p11a2 se.m7p11a3 se.m7p11a4 se.m7p11a5 ci_l.m7p11a1
## 1.17-24 0.05587430 0.05544141 0.04460406 0.02546590 0.000000e+00 0.2237727
## 1.25-44 0.03385693 0.03157044 0.02827476 0.02087208 3.169933e-05 0.3641153
## 1.45-64 0.07679106 0.07365258 0.04155259 0.01202635 0.000000e+00 0.4375978
## 1.65+ 0.03669623 0.02803591 0.01516048 0.03127282 2.830318e-03 0.5270115
## ci_l.m7p11a2 ci_l.m7p11a3 ci_l.m7p11a4 ci_l.m7p11a5 ci_u.m7p11a1
## 1.17-24 0.3017213 0.0893660528 0.029630569 0.000000e+00 0.4427959
## 1.25-44 0.2593941 0.1145370708 0.037360722 -3.059282e-05 0.4968320
## 1.45-64 0.1660193 -0.0008654909 -0.002628587 0.000000e+00 0.7386133
## 1.65+ 0.2033464 0.0407473904 0.005761377 -2.942776e-04 0.6708581
## ci_u.m7p11a2 ci_u.m7p11a3 ci_u.m7p11a4 ci_u.m7p11a5 DEff.m7p11a1
## 1.17-24 0.5190477 0.2642108 0.12945505 0.000000e+00 3.106034
## 1.25-44 0.3831479 0.2253721 0.11917778 9.366627e-05 3.016919
## 1.45-64 0.4547321 0.1620177 0.04451382 0.000000e+00 3.580436
## 1.65+ 0.3132451 0.1001754 0.12834859 1.080036e-02 3.315479
## DEff.m7p11a2 DEff.m7p11a3 DEff.m7p11a4 DEff.m7p11a5
## 1.17-24 2.808318 3.022185 1.958173 NaN
## 1.25-44 2.949320 3.656722 3.896414 0.02056013
## 1.45-64 3.727618 3.427915 1.037490 NaN
## 1.65+ 2.426494 2.075416 9.245811 0.90666068## person Educational_level m7p11a1 m7p11a2 m7p11a3 m7p11a4
## 1.Low 1 Low 0.5253229 0.2441106 0.1396436 0.08478445
## 1.Mid 1 Mid 0.4826342 0.3377675 0.1045087 0.07491779
## 1.High 1 High 0.4082710 0.3403403 0.1918165 0.05915232
## m7p11a5 se.m7p11a1 se.m7p11a2 se.m7p11a3 se.m7p11a4 se.m7p11a5
## 1.Low 0.0061384543 0.05049111 0.03165691 0.03921492 0.04294783 0.0039219144
## 1.Mid 0.0001717373 0.03066592 0.03134708 0.02045119 0.02015186 0.0001721631
## 1.High 0.0004198608 0.04239215 0.04220153 0.03691631 0.01652628 0.0002784670
## ci_l.m7p11a1 ci_l.m7p11a2 ci_l.m7p11a3 ci_l.m7p11a4 ci_l.m7p11a5
## 1.Low 0.4263621 0.1820642 0.06278380 0.0006082487 -0.0015483567
## 1.Mid 0.4225301 0.2763284 0.06442513 0.0354208820 -0.0001656962
## 1.High 0.3251839 0.2576268 0.11946188 0.0267614077 -0.0001259245
## ci_u.m7p11a1 ci_u.m7p11a2 ci_u.m7p11a3 ci_u.m7p11a4 ci_u.m7p11a5
## 1.Low 0.6242837 0.3061570 0.2165035 0.16896065 0.0138252654
## 1.Mid 0.5427383 0.3992067 0.1445923 0.11441470 0.0005091707
## 1.High 0.4913581 0.4230538 0.2641711 0.09154323 0.0009656461
## DEff.m7p11a1 DEff.m7p11a2 DEff.m7p11a3 DEff.m7p11a4 DEff.m7p11a5
## 1.Low 3.672520 1.950972 4.597927 8.538896 0.90567048
## 1.Mid 3.006816 3.507328 3.568074 4.678163 0.13781635
## 1.High 3.333849 3.555243 3.939915 2.199406 0.08280774## person Area m7p11a1 m7p11a2 m7p11a3 m7p11a4 m7p11a5
## 1.Urban 1 Urban 0.4610017 0.3296187 0.1381861 0.06984663 0.0013469344
## 1.Rural 1 Rural 0.4968408 0.2624824 0.1565821 0.08330891 0.0007858382
## se.m7p11a1 se.m7p11a2 se.m7p11a3 se.m7p11a4 se.m7p11a5 ci_l.m7p11a1
## 1.Urban 0.02433144 0.02371752 0.01944131 0.01411068 0.0007638396 0.4133129
## 1.Rural 0.05441231 0.04817850 0.03324263 0.04215477 0.0007902591 0.3901947
## ci_l.m7p11a2 ci_l.m7p11a3 ci_l.m7p11a4 ci_l.m7p11a5 ci_u.m7p11a1
## 1.Urban 0.2831332 0.1000818 0.0421902004 -0.0001501637 0.5086904
## 1.Rural 0.1680542 0.0914277 0.0006870849 -0.0007630411 0.6034870
## ci_u.m7p11a2 ci_u.m7p11a3 ci_u.m7p11a4 ci_u.m7p11a5 DEff.m7p11a1
## 1.Urban 0.3761042 0.1762903 0.09750305 0.002844033 3.296586
## 1.Rural 0.3569105 0.2217364 0.16593073 0.002334717 2.642670
## DEff.m7p11a2 DEff.m7p11a3 DEff.m7p11a4 DEff.m7p11a5
## 1.Urban 3.522279 4.391288 4.240478 0.6001532
## 1.Rural 2.675502 1.867142 5.192185 0.1774674## person Region m7p11a1 m7p11a2 m7p11a3 m7p11a4 m7p11a5
## 1.1 1 1 0.5207312 0.3075275 0.11019142 0.06154986 0.000000000
## 1.2 1 2 0.4322675 0.3039266 0.11361958 0.15018625 0.000000000
## 1.3 1 3 0.4784294 0.3933161 0.03844759 0.08025623 0.009550659
## 1.4 1 4 0.3507978 0.4364078 0.13116856 0.08162583 0.000000000
## 1.5 1 5 0.2664167 0.3914503 0.11643556 0.22569744 0.000000000
## 1.6 1 6 0.4454822 0.3288501 0.11865678 0.10701093 0.000000000
## 1.7 1 7 0.4500253 0.3050195 0.20554430 0.03748905 0.001921891
## 1.8 1 8 0.5213803 0.2320166 0.10013154 0.14647158 0.000000000
## 1.9 1 9 0.5018447 0.4392136 0.01670794 0.04223377 0.000000000
## 1.10 1 10 0.6070243 0.2472295 0.10887309 0.03687308 0.000000000
## 1.11 1 11 0.4397223 0.3393573 0.12579614 0.09512425 0.000000000
## 1.12 1 12 0.5108297 0.3485780 0.13007481 0.01051749 0.000000000
## 1.13 1 13 0.3827914 0.3785759 0.14490236 0.09373027 0.000000000
## 1.14 1 14 0.4374797 0.3829073 0.10950277 0.05300957 0.017100619
## 1.15 1 15 0.5817766 0.2761187 0.09608391 0.02695697 0.019063759
## se.m7p11a1 se.m7p11a2 se.m7p11a3 se.m7p11a4 se.m7p11a5 ci_l.m7p11a1
## 1.1 0.05894193 0.05225292 0.031611617 0.033168922 0.000000000 0.40520713
## 1.2 0.08298548 0.06272301 0.032919850 0.066942220 0.000000000 0.26961900
## 1.3 0.07989560 0.08100057 0.020874274 0.050905451 0.009572474 0.32183692
## 1.4 0.13935493 0.09832241 0.066156554 0.056992334 0.000000000 0.07766716
## 1.5 0.04847157 0.07691822 0.038876916 0.080959815 0.000000000 0.17141420
## 1.6 0.04896748 0.04713663 0.036273172 0.061325631 0.000000000 0.34950769
## 1.7 0.04841704 0.04330059 0.041832181 0.015410041 0.001699459 0.35512964
## 1.8 0.06374990 0.08840450 0.049414984 0.098756443 0.000000000 0.39643276
## 1.9 0.09788639 0.11092946 0.009091573 0.026200217 0.000000000 0.30999090
## 1.10 0.05239772 0.04374574 0.027935309 0.020331432 0.000000000 0.50432665
## 1.11 0.07055333 0.05931109 0.038170107 0.056882051 0.000000000 0.30144027
## 1.12 0.08545621 0.06122451 0.048402542 0.006935746 0.000000000 0.34333864
## 1.13 0.09174525 0.07106452 0.053381248 0.040581031 0.000000000 0.20297403
## 1.14 0.08784283 0.07681219 0.032079961 0.024066481 0.012701300 0.26531094
## 1.15 0.08484993 0.07844383 0.038313967 0.020155950 0.013962734 0.41547384
## ci_l.m7p11a2 ci_l.m7p11a3 ci_l.m7p11a4 ci_l.m7p11a5 ci_u.m7p11a1
## 1.1 0.20511368 0.048233793 -0.003460032 0.000000000 0.6362552
## 1.2 0.18099179 0.049097860 0.018981907 0.000000000 0.5949161
## 1.3 0.23455791 -0.002465235 -0.019516623 -0.009211046 0.6350219
## 1.4 0.24369942 0.001504092 -0.030077089 0.000000000 0.6239284
## 1.5 0.24069333 0.040238208 0.067019119 0.000000000 0.3614192
## 1.6 0.23646402 0.047562665 -0.013185102 0.000000000 0.5414567
## 1.7 0.22015187 0.123554729 0.007285924 -0.001408988 0.5449210
## 1.8 0.05874698 0.003279954 -0.047087495 0.000000000 0.6463278
## 1.9 0.22179584 -0.001111214 -0.009117715 0.000000000 0.6936985
## 1.10 0.16148947 0.054120891 -0.002975795 0.000000000 0.7097219
## 1.11 0.22310975 0.050984108 -0.016362517 0.000000000 0.5780042
## 1.12 0.22858012 0.035207575 -0.003076321 0.000000000 0.6783208
## 1.13 0.23929205 0.040277035 0.014192911 0.000000000 0.5626088
## 1.14 0.23235820 0.046627202 0.005840136 -0.007793472 0.6096485
## 1.15 0.12237163 0.020989916 -0.012547965 -0.008302697 0.7480794
## ci_u.m7p11a2 ci_u.m7p11a3 ci_u.m7p11a4 ci_u.m7p11a5 DEff.m7p11a1
## 1.1 0.4099414 0.17214906 0.12655975 0.00000000 1.617851
## 1.2 0.4268615 0.17814130 0.28139059 0.00000000 2.837794
## 1.3 0.5520743 0.07936042 0.18002908 0.02831236 1.587090
## 1.4 0.6291162 0.26083302 0.19332876 0.00000000 6.233377
## 1.5 0.5422072 0.19263292 0.38437576 0.00000000 1.010311
## 1.6 0.4212362 0.18975089 0.22720695 0.00000000 1.534289
## 1.7 0.3898871 0.28753387 0.06769217 0.00525277 2.103042
## 1.8 0.4052862 0.19698313 0.34003065 0.00000000 1.417579
## 1.9 0.6566313 0.03452710 0.09358525 0.00000000 3.987809
## 1.10 0.3329696 0.16362529 0.07672195 0.00000000 1.853777
## 1.11 0.4556049 0.20060818 0.20661103 0.00000000 1.940500
## 1.12 0.4685758 0.22494205 0.02411130 0.00000000 2.398685
## 1.13 0.5178598 0.24952768 0.17326763 0.00000000 2.780304
## 1.14 0.5334565 0.17237834 0.10017901 0.04199471 2.989561
## 1.15 0.4298658 0.17117791 0.06646191 0.04643022 2.194228
## DEff.m7p11a2 DEff.m7p11a3 DEff.m7p11a4 DEff.m7p11a5
## 1.1 1.490107 1.1844910 2.2136407 NaN
## 1.2 1.880629 1.0882168 3.5507439 NaN
## 1.3 1.705920 0.7312526 2.1780595 0.6009932
## 1.4 2.873182 2.8073469 3.1673875 NaN
## 1.5 2.087265 1.2346717 3.1520526 NaN
## 1.6 1.591245 1.9887081 6.2208162 NaN
## 1.7 1.963897 2.3794527 1.4612639 0.3343177
## 1.8 3.817783 2.3588529 6.7903632 NaN
## 1.9 5.198098 0.5234756 1.7656895 NaN
## 1.10 1.656202 1.2955421 1.8747686 NaN
## 1.11 1.506983 1.2724101 3.6101950 NaN
## 1.12 1.354910 1.6993525 0.3793921 NaN
## 1.13 1.675266 1.7947565 1.5129622 NaN
## 1.14 2.380714 1.0062385 1.1000596 0.9150955
## 1.15 2.282958 1.2533690 1.1485421 0.7730990## person m7p11b1 m7p11b2 m7p11b3 m7p11b4 m7p11b5 se.m7p11b1
## 1 1 0.6633826 0.2015663 0.07979444 0.05052137 0.004735246 0.0197088
## se.m7p11b2 se.m7p11b3 se.m7p11b4 se.m7p11b5 ci_l.m7p11b1 ci_l.m7p11b2
## 1 0.01733773 0.01340454 0.01134618 0.003796194 0.6247541 0.167585
## ci_l.m7p11b3 ci_l.m7p11b4 ci_l.m7p11b5 ci_u.m7p11b1 ci_u.m7p11b2 ci_u.m7p11b3
## 1 0.05352202 0.02828325 -0.002705158 0.7020112 0.2355477 0.1060669
## ci_u.m7p11b4 ci_u.m7p11b5 DEff.m7p11b1 DEff.m7p11b2 DEff.m7p11b3 DEff.m7p11b4
## 1 0.07275948 0.01217565 2.930561 3.146724 4.122659 4.521372
## DEff.m7p11b5
## 1 5.151652## person Age m7p11b1 m7p11b2 m7p11b3 m7p11b4 m7p11b5
## 1.17-24 1 17-24 0.5413257 0.2268122 0.182757530 0.049104535 0.000000000
## 1.25-44 1 25-44 0.6310680 0.2365997 0.070843632 0.053227112 0.008261569
## 1.45-64 1 45-64 0.8506760 0.1352080 0.005839864 0.008276119 0.000000000
## 1.65+ 1 65+ 0.7587074 0.1407532 0.036927294 0.059856834 0.003755359
## se.m7p11b1 se.m7p11b2 se.m7p11b3 se.m7p11b4 se.m7p11b5 ci_l.m7p11b1
## 1.17-24 0.05137297 0.04175425 0.042797546 0.018764781 0.000000000 0.4406365
## 1.25-44 0.03349244 0.03002814 0.016566669 0.018131282 0.008235846 0.5654240
## 1.45-64 0.04733236 0.04634113 0.004410569 0.008305606 0.000000000 0.7579063
## 1.65+ 0.03254901 0.02368394 0.010813392 0.026624687 0.002294605 0.6949125
## ci_l.m7p11b2 ci_l.m7p11b3 ci_l.m7p11b4 ci_l.m7p11b5 ci_u.m7p11b1
## 1.17-24 0.14497541 0.098875881 0.012326240 0.0000000000 0.6420149
## 1.25-44 0.17774565 0.038373556 0.017690453 -0.0078803915 0.6967120
## 1.45-64 0.04438103 -0.002804692 -0.008002569 0.0000000000 0.9434458
## 1.65+ 0.09433349 0.015733436 0.007673407 -0.0007419833 0.8225022
## ci_u.m7p11b2 ci_u.m7p11b3 ci_u.m7p11b4 ci_u.m7p11b5 DEff.m7p11b1
## 1.17-24 0.3086491 0.26663918 0.08588283 0.000000000 2.541179
## 1.25-44 0.2954538 0.10331371 0.08876377 0.024403530 3.181104
## 1.45-64 0.2260349 0.01448442 0.02455481 0.000000000 2.664484
## 1.65+ 0.1871728 0.05812115 0.11204026 0.008252701 3.653917
## DEff.m7p11b2 DEff.m7p11b3 DEff.m7p11b4 DEff.m7p11b5
## 1.17-24 2.376725 2.9318416 1.802858 NaN
## 1.25-44 3.296074 2.7528815 4.307101 5.4659221
## 1.45-64 2.774660 0.5061983 1.269742 NaN
## 1.65+ 2.928419 2.0759593 7.953583 0.8885866## person Educational_level m7p11b1 m7p11b2 m7p11b3 m7p11b4
## 1.Low 1 Low 0.7341159 0.1455507 0.06461847 0.05093455
## 1.Mid 1 Mid 0.6531722 0.2075613 0.07644218 0.05517911
## 1.High 1 High 0.6396174 0.2235254 0.09321407 0.04330103
## m7p11b5 se.m7p11b1 se.m7p11b2 se.m7p11b3 se.m7p11b4 se.m7p11b5
## 1.Low 0.0047803755 0.04042732 0.02578098 0.01688203 0.03345770 0.0032824101
## 1.Mid 0.0076452119 0.02873145 0.02500475 0.01764173 0.01726058 0.0076080805
## 1.High 0.0003420047 0.04006825 0.03549195 0.02481620 0.01470265 0.0002502236
## ci_l.m7p11b1 ci_l.m7p11b2 ci_l.m7p11b3 ci_l.m7p11b4 ci_l.m7p11b5
## 1.Low 0.6548799 0.09502086 0.03153029 -0.01464135 -0.0016530301
## 1.Mid 0.5968596 0.15855291 0.04186503 0.02134899 -0.0072663520
## 1.High 0.5610851 0.15396250 0.04457522 0.01448436 -0.0001484246
## ci_u.m7p11b1 ci_u.m7p11b2 ci_u.m7p11b3 ci_u.m7p11b4 ci_u.m7p11b5
## 1.Low 0.8133520 0.1960805 0.09770664 0.11651044 0.0112137812
## 1.Mid 0.7094848 0.2565698 0.11101934 0.08900923 0.0225567758
## 1.High 0.7181498 0.2930884 0.14185293 0.07211770 0.0008324341
## DEff.m7p11b1 DEff.m7p11b2 DEff.m7p11b3 DEff.m7p11b4 DEff.m7p11b5
## 1.Low 3.183555 2.031973 1.792766 8.804468 0.86104178
## 1.Mid 3.036746 3.167876 3.673840 4.762356 6.35812118
## 1.High 3.267762 3.405173 3.418360 2.448226 0.08592247## person Area m7p11b1 m7p11b2 m7p11b3 m7p11b4 m7p11b5
## 1.Urban 1 Urban 0.6612610 0.2053969 0.07986726 0.04824709 0.005227796
## 1.Rural 1 Rural 0.6837793 0.1647406 0.07909438 0.07238571 0.000000000
## se.m7p11b1 se.m7p11b2 se.m7p11b3 se.m7p11b4 se.m7p11b5 ci_l.m7p11b1
## 1.Urban 0.02112369 0.01892734 0.01457050 0.01178941 0.004190985 0.6198593
## 1.Rural 0.05034078 0.02737280 0.02488603 0.04024360 0.000000000 0.5851132
## ci_l.m7p11b2 ci_l.m7p11b3 ci_l.m7p11b4 ci_l.m7p11b5 ci_u.m7p11b1
## 1.Urban 0.1683000 0.05130960 0.025140259 -0.002986384 0.7026627
## 1.Rural 0.1110909 0.03031865 -0.006490293 0.000000000 0.7824454
## ci_u.m7p11b2 ci_u.m7p11b3 ci_u.m7p11b4 ci_u.m7p11b5 DEff.m7p11b1
## 1.Urban 0.2424938 0.1084249 0.07135391 0.01344198 2.909611
## 1.Rural 0.2183903 0.1278701 0.15126171 0.00000000 2.615200
## DEff.m7p11b2 DEff.m7p11b3 DEff.m7p11b4 DEff.m7p11b5
## 1.Urban 3.206039 4.219522 4.421022 4.933141
## 1.Rural 1.215032 1.897238 5.382011 NaN## person Region m7p11b1 m7p11b2 m7p11b3 m7p11b4 m7p11b5
## 1.1 1 1 0.7070318 0.2012568 0.04995734 0.041754029 0.000000000
## 1.2 1 2 0.6643470 0.1877706 0.07671626 0.071166077 0.000000000
## 1.3 1 3 0.6789545 0.2722665 0.01151727 0.027891312 0.009370378
## 1.4 1 4 0.5180814 0.3337114 0.09252294 0.055684313 0.000000000
## 1.5 1 5 0.4421666 0.2849033 0.07957312 0.193356991 0.000000000
## 1.6 1 6 0.6257349 0.1789529 0.10137875 0.093933505 0.000000000
## 1.7 1 7 0.6628575 0.2110076 0.09407760 0.021992895 0.010064428
## 1.8 1 8 0.6878601 0.1116185 0.05404981 0.146471576 0.000000000
## 1.9 1 9 0.8012336 0.1541357 0.02705103 0.017579630 0.000000000
## 1.10 1 10 0.7082270 0.2053230 0.05407359 0.032376380 0.000000000
## 1.11 1 11 0.6345565 0.1980257 0.08793120 0.079486609 0.000000000
## 1.12 1 12 0.7297073 0.1657715 0.10140728 0.003113945 0.000000000
## 1.13 1 13 0.6877076 0.1635891 0.07376557 0.074937792 0.000000000
## 1.14 1 14 0.5890416 0.2696914 0.11729398 0.017644111 0.006328881
## 1.15 1 15 0.7623122 0.1542166 0.05501274 0.017114018 0.011344490
## se.m7p11b1 se.m7p11b2 se.m7p11b3 se.m7p11b4 se.m7p11b5 ci_l.m7p11b1
## 1.1 0.05598273 0.04160458 0.02275304 0.028021387 0.000000000 0.5973077
## 1.2 0.08320645 0.05490769 0.03523811 0.066510630 0.000000000 0.5012654
## 1.3 0.07083591 0.06898867 0.01150215 0.015858648 0.009392207 0.5401187
## 1.4 0.10657694 0.09908675 0.03696754 0.046006078 0.000000000 0.3091944
## 1.5 0.05868873 0.06266904 0.03279753 0.080760491 0.000000000 0.3271388
## 1.6 0.06111278 0.03512036 0.03366943 0.060948170 0.000000000 0.5059560
## 1.7 0.03579991 0.03468002 0.02784731 0.009392264 0.008746901 0.5926909
## 1.8 0.06803465 0.04342029 0.03212435 0.098756443 0.000000000 0.5545146
## 1.9 0.05915201 0.05043525 0.02190097 0.014159947 0.000000000 0.6852978
## 1.10 0.04876394 0.03724904 0.02222288 0.019924333 0.000000000 0.6126514
## 1.11 0.06730220 0.04617064 0.03457310 0.053595129 0.000000000 0.5026466
## 1.12 0.06302207 0.04611322 0.04651457 0.003185524 0.000000000 0.6061863
## 1.13 0.06910158 0.04471906 0.03709993 0.034998312 0.000000000 0.5522710
## 1.14 0.08429576 0.07355772 0.03614297 0.012217718 0.006430508 0.4238250
## 1.15 0.07633859 0.07274504 0.02888603 0.017296697 0.011441693 0.6126913
## ci_l.m7p11b2 ci_l.m7p11b3 ci_l.m7p11b4 ci_l.m7p11b5 ci_u.m7p11b1
## 1.1 0.11971331 0.005362206 -0.013166880 0.000000000 0.8167560
## 1.2 0.08015352 0.007650842 -0.059192363 0.000000000 0.8274287
## 1.3 0.13705119 -0.011026530 -0.003191068 -0.009038009 0.8177904
## 1.4 0.13950492 0.020067897 -0.034485943 0.000000000 0.7269683
## 1.5 0.16207423 0.015291145 0.035069337 0.000000000 0.5571944
## 1.6 0.11011825 0.035387879 -0.025522712 0.000000000 0.7455137
## 1.7 0.14303601 0.039497889 0.003584396 -0.007079184 0.7330240
## 1.8 0.02651635 -0.008912773 -0.047087495 0.000000000 0.8212055
## 1.9 0.05528446 -0.015874084 -0.010173357 0.000000000 0.9171694
## 1.10 0.13231624 0.010517533 -0.006674594 0.000000000 0.8038026
## 1.11 0.10753289 0.020169160 -0.025557914 0.000000000 0.7664664
## 1.12 0.07539128 0.010240411 -0.003129568 0.000000000 0.8532282
## 1.13 0.07594130 0.001051042 0.006342361 0.000000000 0.8231442
## 1.14 0.12552094 0.046455069 -0.006302176 -0.006274683 0.7542583
## 1.15 0.01163892 -0.001602841 -0.016786885 -0.011080817 0.9119331
## ci_u.m7p11b2 ci_u.m7p11b3 ci_u.m7p11b4 ci_u.m7p11b5 DEff.m7p11b1
## 1.1 0.2828003 0.09455248 0.096674937 0.00000000 1.758456
## 1.2 0.2953877 0.14578168 0.201524516 0.00000000 3.139797
## 1.3 0.4074818 0.03406107 0.058973691 0.02777877 1.451224
## 1.4 0.5279178 0.16497799 0.145854570 0.00000000 3.644591
## 1.5 0.4077324 0.14385510 0.351644645 0.00000000 1.243439
## 1.6 0.2477875 0.16736962 0.213389723 0.00000000 2.552681
## 1.7 0.2789792 0.14865732 0.040401394 0.02720804 1.629004
## 1.8 0.1967207 0.11701238 0.340030647 0.00000000 1.876482
## 1.9 0.2529870 0.06997614 0.045332617 0.00000000 2.285919
## 1.10 0.2783298 0.09762964 0.071427355 0.00000000 1.853467
## 1.11 0.2885185 0.15569323 0.184531133 0.00000000 1.875980
## 1.12 0.2561518 0.19257416 0.009357458 0.00000000 1.652816
## 1.13 0.2512368 0.14648011 0.143533224 0.00000000 1.735122
## 1.14 0.4138619 0.18813290 0.041590398 0.01893244 2.798714
## 1.15 0.2967942 0.11162831 0.051014921 0.03376980 2.385020
## DEff.m7p11b2 DEff.m7p11b3 DEff.m7p11b4 DEff.m7p11b5
## 1.1 1.251432 1.2677076 2.2807966 NaN
## 1.2 1.999094 1.7728645 6.7677464 NaN
## 1.3 1.514341 0.7326121 0.5847675 0.5991030
## 1.4 3.537462 1.3039173 3.2245893 NaN
## 1.5 1.716521 1.3077718 3.7235914 NaN
## 1.6 1.343734 1.9918196 6.9862294 NaN
## 1.7 2.052012 2.5845276 1.1649526 2.1812452
## 1.8 1.654943 1.7568710 6.7903632 NaN
## 1.9 2.029963 1.8961677 1.2079253 NaN
## 1.10 1.369641 1.5551167 2.0409741 NaN
## 1.11 1.289170 1.4314181 3.7703959 NaN
## 1.12 1.262055 1.9488040 0.2683043 NaN
## 1.13 1.140593 1.5721387 1.3789281 NaN
## 1.14 2.619232 1.2029477 0.8211121 0.6269197
## 1.15 3.008569 1.1902275 1.3189086 0.8655539## person m7p11c1 m7p11c2 m7p11c3 m7p11c4 m7p11c5 se.m7p11c1
## 1 1 0.774518 0.1294309 0.05244764 0.04330649 0.0002969908 0.01939288
## se.m7p11c2 se.m7p11c3 se.m7p11c4 se.m7p11c5 ci_l.m7p11c1 ci_l.m7p11c2
## 1 0.01539856 0.009014824 0.01159965 0.0002391165 0.7365087 0.09925026
## ci_l.m7p11c3 ci_l.m7p11c4 ci_l.m7p11c5 ci_u.m7p11c1 ci_u.m7p11c2 ci_u.m7p11c3
## 1 0.03477891 0.02057159 -0.000171669 0.8125274 0.1596115 0.07011637
## ci_u.m7p11c4 ci_u.m7p11c5 DEff.m7p11c1 DEff.m7p11c2 DEff.m7p11c3 DEff.m7p11c4
## 1 0.0660414 0.0007656506 3.628041 3.545275 2.754966 5.471359
## DEff.m7p11c5
## 1 0.3244413## person Age m7p11c1 m7p11c2 m7p11c3 m7p11c4 m7p11c5
## 1.17-24 1 17-24 0.7070325 0.16653445 0.096467514 0.029965581 0.000000000
## 1.25-44 1 25-44 0.7527590 0.14286686 0.051812045 0.052562130 0.000000000
## 1.45-64 1 45-64 0.9507862 0.03605669 0.004880982 0.008276119 0.000000000
## 1.65+ 1 65+ 0.8117403 0.10530663 0.033430179 0.048381444 0.001141405
## se.m7p11c1 se.m7p11c2 se.m7p11c3 se.m7p11c4 se.m7p11c5 ci_l.m7p11c1
## 1.17-24 0.04862884 0.04370149 0.025910857 0.014584603 0.0000000000 0.6117217
## 1.25-44 0.03203798 0.02568254 0.015019081 0.019192353 0.0000000000 0.6899657
## 1.45-64 0.01815485 0.01521972 0.004281749 0.008305606 0.0000000000 0.9152034
## 1.65+ 0.03249721 0.01812013 0.012580503 0.026153349 0.0009208323 0.7480470
## ci_l.m7p11c2 ci_l.m7p11c3 ci_l.m7p11c4 ci_l.m7p11c5 ci_u.m7p11c1
## 1.17-24 0.080881105 0.045683168 0.001380284 0.0000000000 0.8023432
## 1.25-44 0.092530009 0.022375187 0.014945810 0.0000000000 0.8155522
## 1.45-64 0.006226586 -0.003511091 -0.008002569 0.0000000000 0.9863691
## 1.65+ 0.069791832 0.008772846 -0.002878178 -0.0006633934 0.8754337
## ci_u.m7p11c2 ci_u.m7p11c3 ci_u.m7p11c4 ci_u.m7p11c5 DEff.m7p11c1
## 1.17-24 0.25218779 0.14725186 0.05855088 0.000000000 2.729342
## 1.25-44 0.19320372 0.08124890 0.09017845 0.000000000 3.641333
## 1.45-64 0.06588679 0.01327306 0.02455481 0.000000000 1.064158
## 1.65+ 0.14082143 0.05808751 0.09964107 0.002946203 4.363342
## DEff.m7p11c2 DEff.m7p11c3 DEff.m7p11c4 DEff.m7p11c5
## 1.17-24 3.289498 1.8414827 1.749477 NaN
## 1.25-44 3.556337 3.0315749 4.883593 NaN
## 1.45-64 1.006854 0.5702307 1.269742 NaN
## 1.65+ 2.200362 3.0926133 9.380250 0.4695901## person Educational_level m7p11c1 m7p11c2 m7p11c3 m7p11c4
## 1.Low 1 Low 0.7994432 0.1012862 0.04629745 0.05171054
## 1.Mid 1 Mid 0.7865909 0.1254724 0.03756690 0.05036976
## 1.High 1 High 0.7426192 0.1509280 0.07818494 0.02805874
## m7p11c5 se.m7p11c1 se.m7p11c2 se.m7p11c3 se.m7p11c4 se.m7p11c5
## 1.Low 0.0012625854 0.03844144 0.02162293 0.014468849 0.03359328 0.0012674901
## 1.Mid 0.0000000000 0.02679332 0.02194075 0.009854637 0.01790750 0.0000000000
## 1.High 0.0002091582 0.03790863 0.03187987 0.022470688 0.01263536 0.0002104424
## ci_l.m7p11c1 ci_l.m7p11c2 ci_l.m7p11c3 ci_l.m7p11c4 ci_l.m7p11c5
## 1.Low 0.7240994 0.05890601 0.01793903 -0.014131079 -0.0012216496
## 1.Mid 0.7340770 0.08246936 0.01825217 0.015271712 0.0000000000
## 1.High 0.6683196 0.08844461 0.03414320 0.003293882 -0.0002033014
## ci_u.m7p11c1 ci_u.m7p11c2 ci_u.m7p11c3 ci_u.m7p11c4 ci_u.m7p11c5
## 1.Low 0.8747871 0.1436663 0.07465588 0.11755215 0.0037468204
## 1.Mid 0.8391048 0.1684755 0.05688163 0.08546781 0.0000000000
## 1.High 0.8169187 0.2134114 0.12222668 0.05282360 0.0006216177
## DEff.m7p11c1 DEff.m7p11c2 DEff.m7p11c3 DEff.m7p11c4 DEff.m7p11c5
## 1.Low 3.504240 1.952886 1.802675 8.749924 0.48439158
## 1.Mid 3.563905 3.656084 2.238414 5.587023 NaN
## 1.High 3.527503 3.720938 3.286998 2.746635 0.09936106## person Area m7p11c1 m7p11c2 m7p11c3 m7p11c4 m7p11c5
## 1.Urban 1 Urban 0.7753461 0.13358857 0.05132913 0.03940834 0.0003278831
## 1.Rural 1 Rural 0.7665571 0.08945995 0.06320063 0.08078234 0.0000000000
## se.m7p11c1 se.m7p11c2 se.m7p11c3 se.m7p11c4 se.m7p11c5 ci_l.m7p11c1
## 1.Urban 0.02079095 0.01685933 0.00959129 0.01179566 0.0002640844 0.7345966
## 1.Rural 0.04896633 0.02168031 0.02567272 0.04713513 0.0000000000 0.6705848
## ci_l.m7p11c2 ci_l.m7p11c3 ci_l.m7p11c4 ci_l.m7p11c5 ci_u.m7p11c1
## 1.Urban 0.10054489 0.03253055 0.01628927 -0.0001897128 0.8160956
## 1.Rural 0.04696732 0.01288303 -0.01160082 0.0000000000 0.8625293
## ci_u.m7p11c2 ci_u.m7p11c3 ci_u.m7p11c4 ci_u.m7p11c5 DEff.m7p11c1
## 1.Urban 0.1666322 0.07012772 0.0625274 0.000845479 3.624704
## 1.Rural 0.1319526 0.11351823 0.1731655 0.000000000 2.989794
## DEff.m7p11c2 DEff.m7p11c3 DEff.m7p11c4 DEff.m7p11c5
## 1.Urban 3.586912 2.759358 5.368478 0.3107723
## 1.Rural 1.287581 2.483973 6.676148 NaN## person Region m7p11c1 m7p11c2 m7p11c3 m7p11c4 m7p11c5
## 1.1 1 1 0.7741727 0.17395536 0.025332515 0.026539413 0.000000000
## 1.2 1 2 0.7508077 0.13888082 0.092930129 0.017381318 0.000000000
## 1.3 1 3 0.8663125 0.08880568 0.011517268 0.023994175 0.009370378
## 1.4 1 4 0.7615511 0.13682743 0.045937200 0.055684313 0.000000000
## 1.5 1 5 0.5599532 0.20595404 0.040709588 0.193383200 0.000000000
## 1.6 1 6 0.7067994 0.13851906 0.069472722 0.085208862 0.000000000
## 1.7 1 7 0.7805828 0.13989376 0.060366377 0.018998931 0.000158151
## 1.8 1 8 0.7491427 0.09777375 0.006611947 0.146471576 0.000000000
## 1.9 1 9 0.8560792 0.10434253 0.039578273 0.000000000 0.000000000
## 1.10 1 10 0.8277658 0.10706074 0.047969711 0.017203740 0.000000000
## 1.11 1 11 0.7670980 0.10019245 0.053222951 0.079486609 0.000000000
## 1.12 1 12 0.8434090 0.09587328 0.057603818 0.003113945 0.000000000
## 1.13 1 13 0.8155176 0.08961126 0.041678157 0.053193032 0.000000000
## 1.14 1 14 0.7529357 0.19321124 0.053853017 0.000000000 0.000000000
## 1.15 1 15 0.8501537 0.10914168 0.023590555 0.017114018 0.000000000
## se.m7p11c1 se.m7p11c2 se.m7p11c3 se.m7p11c4 se.m7p11c5 ci_l.m7p11c1
## 1.1 0.05302648 0.04606289 0.013061823 0.026310176 0.0000000000 0.6702427
## 1.2 0.07274491 0.05302793 0.066068981 0.016977931 0.0000000000 0.6082303
## 1.3 0.05138742 0.03606208 0.011502149 0.015247372 0.0093922070 0.7655950
## 1.4 0.06766892 0.04600887 0.020893647 0.046006078 0.0000000000 0.6289224
## 1.5 0.06851532 0.05030310 0.025672474 0.093115107 0.0000000000 0.4256656
## 1.6 0.06304601 0.03465532 0.028252793 0.059604180 0.0000000000 0.5832314
## 1.7 0.03619055 0.03170103 0.017517732 0.010873334 0.0001596938 0.7096506
## 1.8 0.07823307 0.04288624 0.004165029 0.098756443 0.0000000000 0.5958087
## 1.9 0.04996330 0.04231057 0.025798364 0.000000000 0.0000000000 0.7581529
## 1.10 0.03614123 0.02848862 0.018312307 0.016593591 0.0000000000 0.7569303
## 1.11 0.06157736 0.03432605 0.029893696 0.053595129 0.0000000000 0.6464086
## 1.12 0.05567341 0.04856665 0.041462846 0.003185524 0.0000000000 0.7342911
## 1.13 0.05605083 0.03166322 0.027160678 0.032388712 0.0000000000 0.7056599
## 1.14 0.05108663 0.05489400 0.021945183 0.000000000 0.0000000000 0.6528078
## 1.15 0.07107934 0.07018647 0.016229368 0.017296697 0.0000000000 0.7108408
## ci_l.m7p11c2 ci_l.m7p11c3 ci_l.m7p11c4 ci_l.m7p11c5 ci_u.m7p11c1
## 1.1 0.0836737543 -0.0002681876 -0.025027584 0.0000000000 0.8781027
## 1.2 0.0349479863 -0.0365626936 -0.015894815 0.0000000000 0.8933851
## 1.3 0.0181253126 -0.0110265303 -0.005890124 -0.0090380090 0.9670300
## 1.4 0.0466516903 0.0049864048 -0.034485943 0.0000000000 0.8941797
## 1.5 0.1073617717 -0.0096075360 0.010880945 0.0000000000 0.6942407
## 1.6 0.0705958887 0.0140982655 -0.031613185 0.0000000000 0.8303673
## 1.7 0.0777608835 0.0260322539 -0.002312412 -0.0001548431 0.8515149
## 1.8 0.0137182648 -0.0015513607 -0.047087495 0.0000000000 0.9024767
## 1.9 0.0214153373 -0.0109855911 0.000000000 0.0000000000 0.9540055
## 1.10 0.0512240817 0.0120782501 -0.015319100 0.0000000000 0.8986013
## 1.11 0.0329146245 -0.0053676173 -0.025557914 0.0000000000 0.8877874
## 1.12 0.0006843984 -0.0236618680 -0.003129568 0.0000000000 0.9525268
## 1.13 0.0275524994 -0.0115557943 -0.010287676 0.0000000000 0.9253752
## 1.14 0.0856209818 0.0108412484 0.000000000 0.0000000000 0.8530637
## 1.15 -0.0284212804 -0.0082184220 -0.016786885 0.0000000000 0.9894667
## ci_u.m7p11c2 ci_u.m7p11c3 ci_u.m7p11c4 ci_u.m7p11c5 DEff.m7p11c1
## 1.1 0.2642370 0.05093322 0.078106409 0.0000000000 1.869192
## 1.2 0.2428136 0.22242295 0.050657451 0.0000000000 2.860322
## 1.3 0.1594861 0.03406107 0.053878475 0.0277787659 1.437417
## 1.4 0.2270032 0.08688800 0.145854570 0.0000000000 2.020125
## 1.5 0.3045463 0.09102671 0.375885456 0.0000000000 1.696407
## 1.6 0.2064422 0.12484718 0.202030908 0.0000000000 3.070126
## 1.7 0.2020266 0.09470050 0.040310274 0.0004711452 2.172164
## 1.8 0.1818292 0.01477525 0.340030647 0.0000000000 2.834803
## 1.9 0.1872697 0.09014214 0.000000000 0.0000000000 2.108088
## 1.10 0.1628974 0.08386117 0.049726580 0.0000000000 1.475651
## 1.11 0.1674703 0.11181352 0.184531133 0.0000000000 2.038348
## 1.12 0.1910622 0.13886950 0.009357458 0.0000000000 1.926251
## 1.13 0.1516700 0.09491211 0.116673740 0.0000000000 1.629653
## 1.14 0.3008015 0.09686479 0.000000000 0.0000000000 1.337635
## 1.15 0.2467046 0.05539953 0.051014921 0.0000000000 2.940945
## DEff.m7p11c2 DEff.m7p11c3 DEff.m7p11c4 DEff.m7p11c5
## 1.1 1.7161044 0.8030739 3.1140137 NaN
## 1.2 2.3778084 5.2368602 1.7067694 NaN
## 1.3 1.0131747 0.7326121 0.6258444 0.5991030
## 1.4 1.4358414 0.7979599 3.2245893 NaN
## 1.5 1.3777771 1.5027751 4.9494809 NaN
## 1.6 1.6109670 1.9764301 7.2953954 NaN
## 1.7 2.3724025 1.5367179 1.8018510 0.0458105
## 1.8 1.8148120 0.2298907 6.7903632 NaN
## 1.9 1.9930505 1.8217526 NaN NaN
## 1.10 1.3673988 1.1826954 2.6230045 NaN
## 1.11 1.2552304 1.7032286 3.7703959 NaN
## 1.12 2.2334263 2.5992958 0.2683043 NaN
## 1.13 0.9590468 1.4413869 1.6255128 NaN
## 1.14 1.8430980 0.9011575 NaN NaN
## 1.15 3.7570854 0.8479624 1.3189086 NaN## person m7p121 m7p122 m7p123 m7p124 m7p125 se.m7p121
## 1 1 0.940938 0.04641156 0.01038343 0.001288282 0.0009787688 0.01023451
## se.m7p122 se.m7p123 se.m7p124 se.m7p125 ci_l.m7p121 ci_l.m7p122
## 1 0.00950587 0.003738949 0.001106708 0.0005466018 0.9208787 0.0277804
## ci_l.m7p123 ci_l.m7p124 ci_l.m7p125 ci_u.m7p121 ci_u.m7p122 ci_u.m7p123
## 1 0.00305522 -0.0008808262 -9.255104e-05 0.9609972 0.06504272 0.01771163
## ci_u.m7p124 ci_u.m7p125 DEff.m7p121 DEff.m7p122 DEff.m7p123 DEff.m7p124
## 1 0.00345739 0.002050089 3.175379 3.439755 2.292041 1.603785
## DEff.m7p125
## 1 0.5147759## person Age m7p121 m7p122 m7p123 m7p124 m7p125
## 1.17-24 1 17-24 0.9295461 0.041849406 0.026669901 0.0000000000 0.001934597
## 1.25-44 1 25-44 0.9297033 0.062944966 0.004334096 0.0023914236 0.000626260
## 1.45-64 1 45-64 0.9910344 0.008965624 0.000000000 0.0000000000 0.000000000
## 1.65+ 1 65+ 0.9542061 0.032581766 0.011300412 0.0007703585 0.001141405
## se.m7p121 se.m7p122 se.m7p123 se.m7p124 se.m7p125
## 1.17-24 0.020245870 0.014072737 0.014380431 0.0000000000 0.0019423854
## 1.25-44 0.018965794 0.018417828 0.004075645 0.0023927466 0.0006285936
## 1.45-64 0.006807634 0.006807634 0.000000000 0.0000000000 0.0000000000
## 1.65+ 0.012951807 0.011918271 0.005186453 0.0007721524 0.0009208323
## ci_l.m7p121 ci_l.m7p122 ci_l.m7p123 ci_l.m7p124 ci_l.m7p125
## 1.17-24 0.8898649 0.014267348 -0.001515226 0.0000000000 -0.0018724084
## 1.25-44 0.8925310 0.026846686 -0.003654021 -0.0022982735 -0.0006057608
## 1.45-64 0.9776917 -0.004377093 0.000000000 0.0000000000 0.0000000000
## 1.65+ 0.9288210 0.009222384 0.001135151 -0.0007430324 -0.0006633934
## ci_u.m7p121 ci_u.m7p122 ci_u.m7p123 ci_u.m7p124 ci_u.m7p125 DEff.m7p121
## 1.17-24 0.9692273 0.06943146 0.05485503 0.000000000 0.005741602 1.4963248
## 1.25-44 0.9668755 0.09904325 0.01232221 0.007081121 0.001858281 3.6338685
## 1.45-64 1.0043771 0.02230834 0.00000000 0.000000000 0.000000000 0.7879771
## 1.65+ 0.9795911 0.05594115 0.02146567 0.002283749 0.002946203 2.4238852
## DEff.m7p122 DEff.m7p123 DEff.m7p124 DEff.m7p125
## 1.17-24 1.1807638 1.904545 NaN 0.4671434
## 1.25-44 3.7971476 2.541483 1.5844679 0.4168349
## 1.45-64 0.7879771 NaN NaN NaN
## 1.65+ 2.8453726 1.520141 0.4890456 0.4695901## person Educational_level m7p121 m7p122 m7p123 m7p124
## 1.Low 1 Low 0.9340616 0.04881655 0.013177554 0.001107567
## 1.Mid 1 Mid 0.9342000 0.05740149 0.006185532 0.002213011
## 1.High 1 High 0.9548531 0.02858482 0.015140854 0.000000000
## m7p125 se.m7p121 se.m7p122 se.m7p123 se.m7p124 se.m7p125
## 1.Low 0.002836697 0.01916532 0.01785652 0.007156761 0.00111355 0.002038226
## 1.Mid 0.000000000 0.01702608 0.01647699 0.004302895 0.00221381 0.000000000
## 1.High 0.001421217 0.01375529 0.01072369 0.008558733 0.00000000 0.001235555
## ci_l.m7p121 ci_l.m7p122 ci_l.m7p123 ci_l.m7p124 ci_l.m7p125
## 1.Low 0.8964983 0.013818425 -0.0008494388 -0.001074951 -0.001158151
## 1.Mid 0.9008295 0.025107178 -0.0022479869 -0.002125977 0.000000000
## 1.High 0.9278932 0.007566773 -0.0016339549 0.000000000 -0.001000426
## ci_u.m7p121 ci_u.m7p122 ci_u.m7p123 ci_u.m7p124 ci_u.m7p125 DEff.m7p121
## 1.Low 0.9716250 0.08381468 0.02720455 0.003290085 0.006831546 2.267452
## 1.Mid 0.9675705 0.08969581 0.01461905 0.006551999 0.000000000 3.930053
## 1.High 0.9818130 0.04960288 0.03191566 0.000000000 0.003842860 2.059248
## DEff.m7p122 DEff.m7p123 DEff.m7p124 DEff.m7p125
## 1.Low 2.610848 1.497541 0.4261379 0.5583990
## 1.Mid 4.181587 2.510003 1.8496710 NaN
## 1.High 1.943041 2.304773 NaN 0.5046788## person Area m7p121 m7p122 m7p123 m7p124 m7p125
## 1.Urban 1 Urban 0.9451010 0.04238852 0.01022888 0.001200991 0.001080578
## 1.Rural 1 Rural 0.9009153 0.08508799 0.01186921 0.002127476 0.000000000
## se.m7p121 se.m7p122 se.m7p123 se.m7p124 se.m7p125 ci_l.m7p121
## 1.Urban 0.01076236 0.009931572 0.004070206 0.001201055 0.0006039595 0.9240072
## 1.Rural 0.03226977 0.031902922 0.006591554 0.002168911 0.0000000000 0.8376678
## ci_l.m7p122 ci_l.m7p123 ci_l.m7p124 ci_l.m7p125 ci_u.m7p121
## 1.Urban 0.02292300 0.002251422 -0.001153034 -0.0001031607 0.9661949
## 1.Rural 0.02255941 -0.001049999 -0.002123511 0.0000000000 0.9641629
## ci_u.m7p122 ci_u.m7p123 ci_u.m7p124 ci_u.m7p125 DEff.m7p121 DEff.m7p122
## 1.Urban 0.06185405 0.01820633 0.003555015 0.002264317 3.260663 3.549212
## 1.Rural 0.14761656 0.02478842 0.006378462 0.000000000 2.602990 2.917324
## DEff.m7p123 DEff.m7p124 DEff.m7p125
## 1.Urban 2.390031 1.7564737 0.4935857
## 1.Rural 0.826629 0.4944414 NaN## person Region m7p121 m7p122 m7p123 m7p124 m7p125
## 1.1 1 1 0.9464638 0.045723706 0.007812467 0.00000000 0.0000000000
## 1.2 1 2 0.9597269 0.040273107 0.000000000 0.00000000 0.0000000000
## 1.3 1 3 0.8772178 0.062561837 0.050849979 0.00000000 0.0093703784
## 1.4 1 4 0.9720072 0.022785066 0.005207736 0.00000000 0.0000000000
## 1.5 1 5 0.9170783 0.034662424 0.048259291 0.00000000 0.0000000000
## 1.6 1 6 0.8713235 0.128676466 0.000000000 0.00000000 0.0000000000
## 1.7 1 7 0.9550169 0.035132598 0.009034570 0.00000000 0.0008159655
## 1.8 1 8 0.9427722 0.057227790 0.000000000 0.00000000 0.0000000000
## 1.9 1 9 0.9963439 0.003656081 0.000000000 0.00000000 0.0000000000
## 1.10 1 10 0.9347929 0.044505902 0.020701178 0.00000000 0.0000000000
## 1.11 1 11 0.9642516 0.035748412 0.000000000 0.00000000 0.0000000000
## 1.12 1 12 0.9518661 0.030707326 0.000000000 0.00000000 0.0174265785
## 1.13 1 13 0.8893328 0.062561383 0.015409691 0.03269611 0.0000000000
## 1.14 1 14 0.9276260 0.063649226 0.008724738 0.00000000 0.0000000000
## 1.15 1 15 0.9604048 0.039595167 0.000000000 0.00000000 0.0000000000
## se.m7p121 se.m7p122 se.m7p123 se.m7p124 se.m7p125 ci_l.m7p121
## 1.1 0.027147517 0.026112777 0.007899484 0.00000000 0.0000000000 0.8932557
## 1.2 0.024065600 0.024065600 0.000000000 0.00000000 0.0000000000 0.9125592
## 1.3 0.057086267 0.029178066 0.048589316 0.00000000 0.0093922070 0.7653308
## 1.4 0.018095355 0.016747063 0.005393763 0.00000000 0.0000000000 0.9365410
## 1.5 0.034582522 0.020811168 0.028010875 0.00000000 0.0000000000 0.8492978
## 1.6 0.062700842 0.062700842 0.000000000 0.00000000 0.0000000000 0.7484321
## 1.7 0.014493002 0.013067161 0.006393072 0.00000000 0.0006843583 0.9266111
## 1.8 0.032971111 0.032971111 0.000000000 0.00000000 0.0000000000 0.8781500
## 1.9 0.003755091 0.003755091 0.000000000 0.00000000 0.0000000000 0.9889841
## 1.10 0.025917271 0.020589734 0.016852712 0.00000000 0.0000000000 0.8839960
## 1.11 0.034537066 0.034537066 0.000000000 0.00000000 0.0000000000 0.8965602
## 1.12 0.030282545 0.025359946 0.000000000 0.00000000 0.0174323553 0.8925134
## 1.13 0.037835092 0.027123994 0.010782707 0.02777592 0.0000000000 0.8151774
## 1.14 0.028207190 0.027495908 0.006258884 0.00000000 0.0000000000 0.8723410
## 1.15 0.023864508 0.023864508 0.000000000 0.00000000 0.0000000000 0.9136313
## ci_l.m7p122 ci_l.m7p123 ci_l.m7p124 ci_l.m7p125 ci_u.m7p121
## 1.1 -0.005456396 -0.007670238 0.00000000 0.0000000000 0.9996720
## 1.2 -0.006894602 0.000000000 0.00000000 0.0000000000 1.0068946
## 1.3 0.005373878 -0.044383331 0.00000000 -0.0090380090 0.9891048
## 1.4 -0.010038575 -0.005363845 0.00000000 0.0000000000 1.0074734
## 1.5 -0.006126715 -0.006641015 0.00000000 0.0000000000 0.9848588
## 1.6 0.005785074 0.000000000 0.00000000 0.0000000000 0.9942149
## 1.7 0.009521432 -0.003495620 0.00000000 -0.0005253521 0.9834226
## 1.8 -0.007394401 0.000000000 0.00000000 0.0000000000 1.0073944
## 1.9 -0.003703762 0.000000000 0.00000000 0.0000000000 1.0037038
## 1.10 0.004150765 -0.012329530 0.00000000 0.0000000000 0.9855898
## 1.11 -0.031942994 0.000000000 0.00000000 0.0000000000 1.0319430
## 1.12 -0.018997255 0.000000000 0.00000000 -0.0167402100 1.0112188
## 1.13 0.009399331 -0.005724027 -0.02174369 0.0000000000 0.9634882
## 1.14 0.009758238 -0.003542450 0.00000000 0.0000000000 0.9829111
## 1.15 -0.007178409 0.000000000 0.00000000 0.0000000000 1.0071784
## ci_u.m7p122 ci_u.m7p123 ci_u.m7p124 ci_u.m7p125 DEff.m7p121 DEff.m7p122
## 1.1 0.09690381 0.02329517 0.00000000 0.000000000 1.6904082 1.8162401
## 1.2 0.08744082 0.00000000 0.00000000 0.000000000 1.5153175 1.5153175
## 1.3 0.11974980 0.14608329 0.00000000 0.027778766 1.9074585 0.9151568
## 1.4 0.05560871 0.01577932 0.00000000 0.000000000 0.9640785 1.0090925
## 1.5 0.07545156 0.10315960 0.00000000 0.000000000 1.4003739 1.1525509
## 1.6 0.25156786 0.00000000 0.00000000 0.000000000 5.6126801 5.6126801
## 1.7 0.06074376 0.02156476 0.00000000 0.002157283 1.3888266 1.4307925
## 1.8 0.12184998 0.00000000 0.00000000 0.000000000 1.7538276 1.7538276
## 1.9 0.01101592 0.00000000 0.00000000 0.000000000 0.4027539 0.4027539
## 1.10 0.08486104 0.05373189 0.00000000 0.000000000 1.7748965 1.6056856
## 1.11 0.10343982 0.00000000 0.00000000 0.000000000 3.3234117 3.3234117
## 1.12 0.08041191 0.00000000 0.00000000 0.051593367 1.6427825 1.7734624
## 1.13 0.11572343 0.03654341 0.08713591 0.000000000 1.1350779 0.9789880
## 1.14 0.11754021 0.02099193 0.00000000 0.000000000 1.1299398 1.2094707
## 1.15 0.08636874 0.00000000 0.00000000 0.000000000 1.1105854 1.1105854
## DEff.m7p123 DEff.m7p124 DEff.m7p125
## 1.1 0.9356173 NaN NaN
## 1.2 NaN NaN NaN
## 1.3 3.0838310 NaN 0.5991030
## 1.4 0.4498797 NaN NaN
## 1.5 1.5211048 NaN NaN
## 1.6 NaN NaN NaN
## 1.7 1.2967171 NaN 0.1631706
## 1.8 NaN NaN NaN
## 1.9 NaN NaN NaN
## 1.10 2.2564929 NaN NaN
## 1.11 NaN NaN NaN
## 1.12 NaN NaN 1.4566569
## 1.13 0.5980333 1.903694 NaN
## 1.14 0.4318552 NaN NaN
## 1.15 NaN NaN NaN## person m7p131 m7p132 m7p133 m7p134 m7p135 se.m7p131
## 1 1 0.938369 0.04122589 0.01364307 0.006530326 0.0002317335 0.01053903
## se.m7p132 se.m7p133 se.m7p134 se.m7p135 ci_l.m7p131 ci_l.m7p132
## 1 0.007284273 0.005022297 0.006168758 0.0002320613 0.9177129 0.02694897
## ci_l.m7p133 ci_l.m7p134 ci_l.m7p135 ci_u.m7p131 ci_u.m7p132 ci_u.m7p133
## 1 0.003799546 -0.005560218 -0.0002230983 0.9590251 0.0555028 0.02348659
## ci_u.m7p134 ci_u.m7p135 DEff.m7p131 DEff.m7p132 DEff.m7p133 DEff.m7p134
## 1 0.01862087 0.0006865653 3.23563 2.261606 3.157836 9.88182
## DEff.m7p135
## 1 0.391605## person Age m7p131 m7p132 m7p133 m7p134 m7p135
## 1.17-24 1 17-24 0.9141009 0.06065423 0.02411533 0.0000000000 0.001129536
## 1.25-44 1 25-44 0.9315021 0.04212532 0.01245740 0.0139151686 0.000000000
## 1.45-64 1 45-64 0.9554970 0.04450297 0.00000000 0.0000000000 0.000000000
## 1.65+ 1 65+ 0.9642587 0.02333031 0.01164059 0.0007703585 0.000000000
## se.m7p131 se.m7p132 se.m7p133 se.m7p134 se.m7p135 ci_l.m7p131
## 1.17-24 0.02464862 0.020846288 0.013379653 0.0000000000 0.001134916 0.8657905
## 1.25-44 0.01906043 0.011255005 0.008632206 0.0134690889 0.000000000 0.8941443
## 1.45-64 0.01945586 0.019455860 0.000000000 0.0000000000 0.000000000 0.9173642
## 1.65+ 0.01137684 0.009747498 0.006008181 0.0007721524 0.000000000 0.9419605
## ci_l.m7p132 ci_l.m7p133 ci_l.m7p134 ci_l.m7p135 ci_u.m7p131
## 1.17-24 0.019796258 -0.0021083034 0.0000000000 -0.001094859 0.9624113
## 1.25-44 0.020065916 -0.0044614098 -0.0124837606 0.000000000 0.9688599
## 1.45-64 0.006370188 0.0000000000 0.0000000000 0.000000000 0.9936298
## 1.65+ 0.004225569 -0.0001352252 -0.0007430324 0.000000000 0.9865569
## ci_u.m7p132 ci_u.m7p133 ci_u.m7p134 ci_u.m7p135 DEff.m7p131 DEff.m7p132
## 1.17-24 0.10151220 0.05033897 0.000000000 0.003353931 1.849829 1.823475
## 1.25-44 0.06418473 0.02937621 0.040314098 0.000000000 3.759336 2.072747
## 1.45-64 0.08263576 0.00000000 0.000000000 0.000000000 1.344847 1.344847
## 1.65+ 0.04243506 0.02341641 0.002283749 0.000000000 2.371271 2.632810
## DEff.m7p133 DEff.m7p134 DEff.m7p135
## 1.17-24 1.818557 NaN 0.2729275
## 1.25-44 3.999143 8.7293202 NaN
## 1.45-64 NaN NaN NaN
## 1.65+ 1.981060 0.4890456 NaN## person Educational_level m7p131 m7p132 m7p133 m7p134
## 1.Low 1 Low 0.9502344 0.02992620 0.01873179 0.001107567
## 1.Mid 1 Mid 0.9285365 0.04662188 0.01149318 0.012877022
## 1.High 1 High 0.9465713 0.03937074 0.01405796 0.000000000
## m7p135 se.m7p131 se.m7p132 se.m7p133 se.m7p134 se.m7p135
## 1.Low 0.0000000000 0.01482202 0.01210708 0.008769904 0.00111355 0.0000000000
## 1.Mid 0.0004714207 0.01751314 0.01007183 0.008412780 0.01247321 0.0004724406
## 1.High 0.0000000000 0.01627590 0.01472097 0.007332695 0.00000000 0.0000000000
## ci_l.m7p131 ci_l.m7p132 ci_l.m7p133 ci_l.m7p134 ci_l.m7p135
## 1.Low 0.9211838 0.006196756 0.0015430954 -0.001074951 0.0000000000
## 1.Mid 0.8942114 0.026881457 -0.0049955670 -0.011570011 -0.0004545457
## 1.High 0.9146711 0.010518161 -0.0003138594 0.000000000 0.0000000000
## ci_u.m7p131 ci_u.m7p132 ci_u.m7p133 ci_u.m7p134 ci_u.m7p135 DEff.m7p131
## 1.Low 0.9792851 0.05365565 0.03592049 0.003290085 0.000000000 1.766341
## 1.Mid 0.9628616 0.06636231 0.02798192 0.037324055 0.001397387 3.851944
## 1.High 0.9784715 0.06822332 0.02842978 0.000000000 0.000000000 2.457512
## DEff.m7p132 DEff.m7p133 DEff.m7p134 DEff.m7p135
## 1.Low 1.919739 1.590897 0.4261379 NaN
## 1.Mid 1.901941 5.191517 10.2001022 0.3947531
## 1.High 2.688298 1.820067 NaN NaN## person Area m7p131 m7p132 m7p133 m7p134 m7p135
## 1.Urban 1 Urban 0.9419674 0.03856848 0.01221998 0.006988301 0.0002558379
## 1.Rural 1 Rural 0.9037748 0.06677353 0.02732421 0.002127476 0.0000000000
## se.m7p131 se.m7p132 se.m7p133 se.m7p134 se.m7p135 ci_l.m7p131
## 1.Urban 0.01112498 0.007507986 0.005122003 0.006804678 0.0002562562 0.9201628
## 1.Rural 0.03189446 0.027108122 0.020106524 0.002168911 0.0000000000 0.8412628
## ci_l.m7p132 ci_l.m7p133 ci_l.m7p134 ci_l.m7p135 ci_u.m7p131
## 1.Urban 0.02385309 0.002181042 -0.006348623 -0.000246415 0.9637720
## 1.Rural 0.01364259 -0.012083853 -0.002123511 0.000000000 0.9662868
## ci_u.m7p132 ci_u.m7p133 ci_u.m7p134 ci_u.m7p135 DEff.m7p131
## 1.Urban 0.05328386 0.02225893 0.020325224 0.0007580907 3.306922
## 1.Rural 0.11990448 0.06673227 0.006378462 0.0000000000 2.610072
## DEff.m7p132 DEff.m7p133 DEff.m7p134 DEff.m7p135
## 1.Urban 2.220392 3.174552 9.7459179 0.3749976
## 1.Rural 2.631351 3.394138 0.4944414 NaN## person Region m7p131 m7p132 m7p133 m7p134 m7p135
## 1.1 1 1 0.9393365 0.060663544 0.00000000 0.000000000 0.000000000
## 1.2 1 2 0.8846094 0.115390557 0.00000000 0.000000000 0.000000000
## 1.3 1 3 0.8320129 0.096116863 0.06236725 0.000000000 0.009502964
## 1.4 1 4 0.9947923 0.005207736 0.00000000 0.000000000 0.000000000
## 1.5 1 5 0.9127298 0.045119730 0.03916933 0.002981181 0.000000000
## 1.6 1 6 0.8827767 0.030087158 0.02463609 0.062500025 0.000000000
## 1.7 1 7 0.9510706 0.037821127 0.01110826 0.000000000 0.000000000
## 1.8 1 8 0.9916641 0.008335933 0.00000000 0.000000000 0.000000000
## 1.9 1 9 0.9690696 0.030930359 0.00000000 0.000000000 0.000000000
## 1.10 1 10 0.9325749 0.045442876 0.02198222 0.000000000 0.000000000
## 1.11 1 11 0.9179780 0.082022049 0.00000000 0.000000000 0.000000000
## 1.12 1 12 0.9961227 0.003877260 0.00000000 0.000000000 0.000000000
## 1.13 1 13 0.9614823 0.020869829 0.01256063 0.005087231 0.000000000
## 1.14 1 14 0.8892945 0.083274229 0.02743129 0.000000000 0.000000000
## 1.15 1 15 0.8920383 0.094685366 0.01327633 0.000000000 0.000000000
## se.m7p131 se.m7p132 se.m7p133 se.m7p134 se.m7p135 ci_l.m7p131
## 1.1 0.032585223 0.032585223 0.000000000 0.000000000 0.000000000 0.8754706
## 1.2 0.046891600 0.046891600 0.000000000 0.000000000 0.000000000 0.7927036
## 1.3 0.075321132 0.059197231 0.049191997 0.000000000 0.009715558 0.6843862
## 1.4 0.005393763 0.005393763 0.000000000 0.000000000 0.000000000 0.9842207
## 1.5 0.030459470 0.019555533 0.026527115 0.003059786 0.000000000 0.8530303
## 1.6 0.060997670 0.015542849 0.018883291 0.059492373 0.000000000 0.7632235
## 1.7 0.015728899 0.013191415 0.008956736 0.000000000 0.000000000 0.9202425
## 1.8 0.008609248 0.008609248 0.000000000 0.000000000 0.000000000 0.9747903
## 1.9 0.020680230 0.020680230 0.000000000 0.000000000 0.000000000 0.9285371
## 1.10 0.025897911 0.020218343 0.017266298 0.000000000 0.000000000 0.8818159
## 1.11 0.042086598 0.042086598 0.000000000 0.000000000 0.000000000 0.8354897
## 1.12 0.003963422 0.003963422 0.000000000 0.000000000 0.000000000 0.9883546
## 1.13 0.018882205 0.013282598 0.012320361 0.005316044 0.000000000 0.9244739
## 1.14 0.036922573 0.033550736 0.019134834 0.000000000 0.000000000 0.8169276
## 1.15 0.070878139 0.070477716 0.013337884 0.000000000 0.000000000 0.7531197
## ci_l.m7p132 ci_l.m7p133 ci_l.m7p134 ci_l.m7p135 ci_u.m7p131
## 1.1 -0.0032023197 0.000000000 0.000000000 0.000000000 1.0032023
## 1.2 0.0234847109 0.000000000 0.000000000 0.000000000 0.9765153
## 1.3 -0.0199075777 -0.034047294 0.000000000 -0.009539179 0.9796396
## 1.4 -0.0053638454 0.000000000 0.000000000 0.000000000 1.0053638
## 1.5 0.0067915890 -0.012822864 -0.003015890 0.000000000 0.9724292
## 1.6 -0.0003762668 -0.012374482 -0.054102884 0.000000000 1.0023300
## 1.7 0.0119664282 -0.006446619 0.000000000 0.000000000 0.9818987
## 1.8 -0.0085378822 0.000000000 0.000000000 0.000000000 1.0085379
## 1.9 -0.0096021467 0.000000000 0.000000000 0.000000000 1.0096021
## 1.10 0.0058156525 -0.011859103 0.000000000 0.000000000 0.9833339
## 1.11 -0.0004661673 0.000000000 0.000000000 0.000000000 1.0004662
## 1.12 -0.0038909039 0.000000000 0.000000000 0.000000000 1.0038909
## 1.13 -0.0051635852 -0.011586837 -0.005332024 0.000000000 0.9984908
## 1.14 0.0175159945 -0.010072291 0.000000000 0.000000000 0.9616614
## 1.15 -0.0434484203 -0.012865445 0.000000000 0.000000000 1.0309569
## ci_u.m7p132 ci_u.m7p133 ci_u.m7p134 ci_u.m7p135 DEff.m7p131 DEff.m7p132
## 1.1 0.12452941 0.00000000 0.000000000 0.00000000 2.1655845 2.1655845
## 1.2 0.20729640 0.00000000 0.000000000 0.00000000 2.1784184 2.1784184
## 1.3 0.21214130 0.15878179 0.000000000 0.02854511 2.5589534 2.5428782
## 1.4 0.01577932 0.00000000 0.000000000 0.00000000 0.4498797 0.4498797
## 1.5 0.08344787 0.09116152 0.008978252 0.00000000 1.0371503 0.7903679
## 1.6 0.06055058 0.06164666 0.179102933 0.00000000 5.7552460 1.3251026
## 1.7 0.06367583 0.02866314 0.000000000 0.00000000 1.5101015 1.3582652
## 1.8 0.02520975 0.00000000 0.000000000 0.00000000 0.7804500 0.7804500
## 1.9 0.07146286 0.00000000 0.000000000 0.00000000 1.4845494 1.4845494
## 1.10 0.08507010 0.05582354 0.000000000 0.00000000 1.7180225 1.5178472
## 1.11 0.16451027 0.00000000 0.000000000 0.00000000 2.2593586 2.2593586
## 1.12 0.01164542 0.00000000 0.000000000 0.00000000 0.3338298 0.3338298
## 1.13 0.04690324 0.03670809 0.015506486 0.00000000 0.7513169 0.6737922
## 1.14 0.14903246 0.06493488 0.000000000 0.00000000 1.3202615 1.4058694
## 1.15 0.23281915 0.03941810 0.000000000 0.00000000 3.8682533 4.2969939
## DEff.m7p133 DEff.m7p134 DEff.m7p135
## 1.1 NaN NaN NaN
## 1.2 NaN NaN NaN
## 1.3 2.6087604 NaN 0.6322049
## 1.4 NaN NaN NaN
## 1.5 1.6649165 0.2804761 NaN
## 1.6 2.3753031 9.6688148 NaN
## 1.7 2.0744205 NaN NaN
## 1.8 NaN NaN NaN
## 1.9 NaN NaN NaN
## 1.10 2.2334943 NaN NaN
## 1.11 NaN NaN NaN
## 1.12 NaN NaN NaN
## 1.13 0.9550901 0.4357426 NaN
## 1.14 1.3085000 NaN NaN
## 1.15 1.0070334 NaN NaN## person m7p141 m7p142 m7p143 m7p144 m7p145 se.m7p141
## 1 1 0.9777129 0.01557268 0.005264947 0.001449507 0 0.005103751
## se.m7p142 se.m7p143 se.m7p144 se.m7p145 ci_l.m7p141 ci_l.m7p142
## 1 0.004326237 0.002633023 0.0007666332 0 0.9677097 0.007093407
## ci_l.m7p143 ci_l.m7p144 ci_l.m7p145 ci_u.m7p141 ci_u.m7p142 ci_u.m7p143
## 1 0.0001043154 -5.306705e-05 0 0.987716 0.02405194 0.01042558
## ci_u.m7p144 ci_u.m7p145 DEff.m7p141 DEff.m7p142 DEff.m7p143 DEff.m7p144
## 1 0.00295208 0 2.01393 2.056859 2.230175 0.6840943
## DEff.m7p145
## 1 NaN## person Age m7p141 m7p142 m7p143 m7p144 m7p145
## 1.17-24 1 17-24 0.9515915 0.036126461 0.01115251 0.001129536 0
## 1.25-44 1 25-44 0.9945598 0.004813978 0.00000000 0.000626260 0
## 1.45-64 1 45-64 0.9938647 0.006135340 0.00000000 0.000000000 0
## 1.65+ 1 65+ 0.9639055 0.021068181 0.01144099 0.003585326 0
## se.m7p141 se.m7p142 se.m7p143 se.m7p144 se.m7p145 ci_l.m7p141
## 1.17-24 0.01901956 0.016175474 0.010063197 0.0011349162 0 0.9143138
## 1.25-44 0.00314882 0.003083074 0.000000000 0.0006285936 0 0.9883882
## 1.45-64 0.00617537 0.006175370 0.000000000 0.0000000000 0 0.9817612
## 1.65+ 0.01041407 0.008373930 0.006143311 0.0025702170 0 0.9434943
## ci_l.m7p142 ci_l.m7p143 ci_l.m7p144 ci_l.m7p145 ci_u.m7p141
## 1.17-24 0.004423115 -0.0085709916 -0.0010948588 0 0.9888691
## 1.25-44 -0.001228735 0.0000000000 -0.0006057608 0 1.0007313
## 1.45-64 -0.005968163 0.0000000000 0.0000000000 0 1.0059682
## 1.65+ 0.004655581 -0.0005996775 -0.0014522072 0 0.9843167
## ci_u.m7p142 ci_u.m7p143 ci_u.m7p144 ci_u.m7p145 DEff.m7p141 DEff.m7p142
## 1.17-24 0.06782981 0.03087601 0.003353931 0 1.8774027 1.7963771
## 1.25-44 0.01085669 0.00000000 0.001858281 0 1.2099112 1.3099846
## 1.45-64 0.01823884 0.00000000 0.000000000 0 0.9448233 0.9448233
## 1.65+ 0.03748078 0.02348166 0.008622858 0 1.9681919 2.1467459
## DEff.m7p143 DEff.m7p144 DEff.m7p145
## 1.17-24 2.195325 0.2729275 NaN
## 1.25-44 NaN 0.4168349 NaN
## 1.45-64 NaN NaN NaN
## 1.65+ 2.106882 1.1675417 NaN## person Educational_level m7p141 m7p142 m7p143 m7p144
## 1.Low 1 Low 0.9464191 0.031510574 0.0164490535 0.0056212741
## 1.Mid 1 Mid 0.9844510 0.014202405 0.0004673573 0.0008791916
## 1.High 1 High 0.9848932 0.008821166 0.0062856688 0.0000000000
## m7p145 se.m7p141 se.m7p142 se.m7p143 se.m7p144 se.m7p145
## 1.Low 0 0.015943558 0.013383455 0.0087552092 0.003552587 0
## 1.Mid 0 0.006457732 0.006408656 0.0004033211 0.000627122 0
## 1.High 0 0.008113123 0.005251028 0.0062476965 0.000000000 0
## ci_l.m7p141 ci_l.m7p142 ci_l.m7p143 ci_l.m7p144 ci_l.m7p145
## 1.Low 0.9151703 0.005279483 -0.0007108411 -0.0013416694 0
## 1.Mid 0.9717941 0.001641670 -0.0003231376 -0.0003499451 0
## 1.High 0.9689917 -0.001470660 -0.0059595914 0.0000000000 0
## ci_u.m7p141 ci_u.m7p142 ci_u.m7p143 ci_u.m7p144 ci_u.m7p145 DEff.m7p141
## 1.Low 0.9776679 0.05774166 0.033608948 0.012584218 0 1.905884
## 1.Mid 0.9971080 0.02676314 0.001257852 0.002108328 0 2.270387
## 1.High 1.0007946 0.01911299 0.018530929 0.000000000 0 2.075617
## DEff.m7p142 DEff.m7p143 DEff.m7p144 DEff.m7p145
## 1.Low 2.231541 1.8014191 0.8584647 NaN
## 1.Mid 2.444665 0.2901958 0.3731107 NaN
## 1.High 1.479600 2.9319763 NaN NaN## person Area m7p141 m7p142 m7p143 m7p144 m7p145
## 1.Urban 1 Urban 0.9808744 0.01408615 0.003881775 0.001157690 0
## 1.Rural 1 Rural 0.9473189 0.02986374 0.018562400 0.004254952 0
## se.m7p141 se.m7p142 se.m7p143 se.m7p144 se.m7p145 ci_l.m7p141
## 1.Urban 0.005048127 0.004276063 0.002643719 0.0007177386 0 0.9709802
## 1.Rural 0.023689436 0.020153314 0.011730586 0.0043378211 0 0.9008885
## ci_l.m7p142 ci_l.m7p143 ci_l.m7p144 ci_l.m7p145 ci_u.m7p141
## 1.Urban 0.005705221 -0.001299819 -0.0002490516 0 0.9907685
## 1.Rural -0.009636033 -0.004429126 -0.0042470216 0 0.9937494
## ci_u.m7p142 ci_u.m7p143 ci_u.m7p144 ci_u.m7p145 DEff.m7p141 DEff.m7p142
## 1.Urban 0.02246708 0.009063369 0.002564432 0 1.984108 1.923050
## 1.Rural 0.06936350 0.041553925 0.012756925 0 2.509168 3.128148
## DEff.m7p143 DEff.m7p144 DEff.m7p145
## 1.Urban 2.640116 0.6506941 NaN
## 1.Rural 1.685442 0.9909957 NaN## person Region m7p141 m7p142 m7p143 m7p144 m7p145
## 1.1 1 1 0.9915286 0.008471380 0.000000000 0.000000000 0
## 1.2 1 2 0.9906141 0.000000000 0.009385913 0.000000000 0
## 1.3 1 3 0.9704311 0.020065929 0.000000000 0.009502964 0
## 1.4 1 4 0.9895519 0.010448087 0.000000000 0.000000000 0
## 1.5 1 5 0.9800265 0.010729275 0.009244227 0.000000000 0
## 1.6 1 6 0.9732918 0.026708179 0.000000000 0.000000000 0
## 1.7 1 7 0.9780700 0.012455385 0.007588395 0.001886258 0
## 1.8 1 8 0.9930466 0.006953367 0.000000000 0.000000000 0
## 1.9 1 9 1.0000000 0.000000000 0.000000000 0.000000000 0
## 1.10 1 10 0.9588048 0.032180198 0.009015035 0.000000000 0
## 1.11 1 11 0.9569244 0.043075646 0.000000000 0.000000000 0
## 1.12 1 12 0.9925664 0.007433633 0.000000000 0.000000000 0
## 1.13 1 13 0.9796511 0.000000000 0.010174461 0.010174461 0
## 1.14 1 14 0.9921603 0.002715518 0.005124139 0.000000000 0
## 1.15 1 15 1.0000000 0.000000000 0.000000000 0.000000000 0
## se.m7p141 se.m7p142 se.m7p143 se.m7p144 se.m7p145 ci_l.m7p141
## 1.1 0.008596089 0.008596089 0.000000000 0.000000000 0 0.9746806
## 1.2 0.009616319 0.000000000 0.009616319 0.000000000 0 0.9717664
## 1.3 0.022396834 0.020112674 0.000000000 0.009715558 0 0.9265341
## 1.4 0.007861160 0.007861160 0.000000000 0.000000000 0 0.9741443
## 1.5 0.014678130 0.010894593 0.009447749 0.000000000 0 0.9512579
## 1.6 0.019626103 0.019626103 0.000000000 0.000000000 0 0.9348254
## 1.7 0.008865094 0.006872907 0.005512486 0.001411123 0 0.9606947
## 1.8 0.005665571 0.005665571 0.000000000 0.000000000 0 0.9819423
## 1.9 0.000000000 0.000000000 0.000000000 0.000000000 0 1.0000000
## 1.10 0.019374306 0.017237373 0.009048339 0.000000000 0 0.9208318
## 1.11 0.025353464 0.025353464 0.000000000 0.000000000 0 0.9072325
## 1.12 0.007435897 0.007435897 0.000000000 0.000000000 0 0.9779923
## 1.13 0.014430069 0.000000000 0.010300193 0.010632088 0 0.9513687
## 1.14 0.005752318 0.002752949 0.005085893 0.000000000 0 0.9808860
## 1.15 0.000000000 0.000000000 0.000000000 0.000000000 0 1.0000000
## ci_l.m7p142 ci_l.m7p143 ci_l.m7p144 ci_l.m7p145 ci_u.m7p141 ci_u.m7p142
## 1.1 -0.008376646 0.000000000 0.000000000 0 1.0083766 0.02531941
## 1.2 0.000000000 -0.009461727 0.000000000 0 1.0094617 0.00000000
## 1.3 -0.019354186 0.000000000 -0.009539179 0 1.0143281 0.05948605
## 1.4 -0.004959504 0.000000000 0.000000000 0 1.0049595 0.02585568
## 1.5 -0.010623734 -0.009273021 0.000000000 0 1.0087951 0.03208228
## 1.6 -0.011758277 0.000000000 0.000000000 0 1.0117583 0.06517463
## 1.7 -0.001015265 -0.003215879 -0.000879492 0 0.9954452 0.02592604
## 1.8 -0.004150948 0.000000000 0.000000000 0 1.0041509 0.01805768
## 1.9 0.000000000 0.000000000 0.000000000 0 1.0000000 0.00000000
## 1.10 -0.001604433 -0.008719384 0.000000000 0 0.9967777 0.06596483
## 1.11 -0.006616230 0.000000000 0.000000000 0 1.0066162 0.09276752
## 1.12 -0.007140458 0.000000000 0.000000000 0 1.0071405 0.02200772
## 1.13 0.000000000 -0.010013547 -0.010664049 0 1.0079335 0.00000000
## 1.14 -0.002680164 -0.004844028 0.000000000 0 1.0034347 0.00811120
## 1.15 0.000000000 0.000000000 0.000000000 0 1.0000000 0.00000000
## ci_u.m7p143 ci_u.m7p144 ci_u.m7p145 DEff.m7p141 DEff.m7p142 DEff.m7p143
## 1.1 0.00000000 0.000000000 0 1.0224101 1.0224101 NaN
## 1.2 0.02823355 0.000000000 0 1.0057958 NaN 1.0057958
## 1.3 0.00000000 0.028545107 0 1.1020673 1.2969347 NaN
## 1.4 0.00000000 0.000000000 0 0.4788417 0.4788417 NaN
## 1.5 0.02776148 0.000000000 0 0.9800648 0.9957306 0.8678105
## 1.6 0.00000000 0.000000000 0 2.3718266 2.3718266 NaN
## 1.7 0.01839267 0.004652008 0 1.0407574 1.0908351 1.1461601
## 1.8 0.00000000 0.000000000 0 0.4046281 0.4046281 NaN
## 1.9 0.00000000 0.000000000 0 NaN NaN NaN
## 1.10 0.02674945 0.000000000 0 1.5306638 1.5366099 1.4760734
## 1.11 0.00000000 0.000000000 0 1.4977026 1.4977026 NaN
## 1.12 0.00000000 0.000000000 0 0.6150754 0.6150754 NaN
## 1.13 0.03036247 0.031012971 0 0.8151607 NaN 0.8221289
## 1.14 0.01509231 0.000000000 0 0.4055998 0.2668183 0.4837662
## 1.15 0.00000000 0.000000000 0 NaN NaN NaN
## DEff.m7p144 DEff.m7p145
## 1.1 NaN NaN
## 1.2 NaN NaN
## 1.3 0.6322049 NaN
## 1.4 NaN NaN
## 1.5 NaN NaN
## 1.6 NaN NaN
## 1.7 0.3004281 NaN
## 1.8 NaN NaN
## 1.9 NaN NaN
## 1.10 NaN NaN
## 1.11 NaN NaN
## 1.12 NaN NaN
## 1.13 0.8759641 NaN
## 1.14 NaN NaN
## 1.15 NaN NaN## person m7p151 m7p152 m7p153 m7p154 m7p155 se.m7p151
## 1 1 0.8899196 0.06459314 0.02908776 0.009870826 0.006528724 0.01442852
## se.m7p152 se.m7p153 se.m7p154 se.m7p155 ci_l.m7p151 ci_l.m7p152
## 1 0.009248308 0.007933887 0.006466755 0.004256846 0.8616402 0.04646679
## ci_l.m7p153 ci_l.m7p154 ci_l.m7p155 ci_u.m7p151 ci_u.m7p152 ci_u.m7p153
## 1 0.01353763 -0.00280378 -0.001814541 0.9181989 0.08271949 0.04463789
## ci_u.m7p154 ci_u.m7p155 DEff.m7p151 DEff.m7p152 DEff.m7p153 DEff.m7p154
## 1 0.02254543 0.01487199 3.580253 2.384891 3.755023 7.208722
## DEff.m7p155
## 1 4.706772## person Age m7p151 m7p152 m7p153 m7p154 m7p155
## 1.17-24 1 17-24 0.8549342 0.05580669 0.07987511 0.008254501 0.001129536
## 1.25-44 1 25-44 0.8802119 0.07669396 0.01366540 0.016755360 0.012673349
## 1.45-64 1 45-64 0.9252913 0.07470869 0.00000000 0.000000000 0.000000000
## 1.65+ 1 65+ 0.9236340 0.04726519 0.02492134 0.002134883 0.002044609
## se.m7p151 se.m7p152 se.m7p153 se.m7p154 se.m7p155 ci_l.m7p151
## 1.17-24 0.03687147 0.01796027 0.032917209 0.008239677 0.001134916 0.7826674
## 1.25-44 0.02276105 0.01579117 0.006672816 0.013609257 0.009284839 0.8356011
## 1.45-64 0.03686721 0.03686721 0.000000000 0.000000000 0.000000000 0.8530329
## 1.65+ 0.01574896 0.01209637 0.010480342 0.001573625 0.002048235 0.8927666
## ci_l.m7p152 ci_l.m7p153 ci_l.m7p154 ci_l.m7p155 ci_u.m7p151
## 1.17-24 0.020605204 0.0153585710 -0.0078949694 -0.001094859 0.9272009
## 1.25-44 0.045743838 0.0005869189 -0.0099182939 -0.005524602 0.9248228
## 1.45-64 0.002450275 0.0000000000 0.0000000000 0.000000000 0.9975497
## 1.65+ 0.023556730 0.0043802465 -0.0009493659 -0.001969858 0.9545014
## ci_u.m7p152 ci_u.m7p153 ci_u.m7p154 ci_u.m7p155 DEff.m7p151 DEff.m7p152
## 1.17-24 0.09100818 0.14439166 0.024403972 0.003353931 2.620668 1.463550
## 1.25-44 0.10764408 0.02674388 0.043429014 0.030871300 3.244074 2.325029
## 1.45-64 0.14696710 0.00000000 0.000000000 0.000000000 2.970445 2.970445
## 1.65+ 0.07097365 0.04546243 0.005219133 0.006059075 2.220267 2.051628
## DEff.m7p153 DEff.m7p154 DEff.m7p155
## 1.17-24 3.524656 1.9827058 0.2729275
## 1.25-44 2.181115 7.4226713 4.5488675
## 1.45-64 NaN NaN NaN
## 1.65+ 2.853918 0.7339362 1.2981943## person Educational_level m7p151 m7p152 m7p153 m7p154
## 1.Low 1 Low 0.8824962 0.07330144 0.03968860 0.001574112
## 1.Mid 1 Mid 0.8918812 0.05359591 0.02626783 0.016055832
## 1.High 1 High 0.8910776 0.07628878 0.02746208 0.005171589
## m7p155 se.m7p151 se.m7p152 se.m7p153 se.m7p154 se.m7p155
## 1.Low 0.002939595 0.02366468 0.01794145 0.01571205 0.001583695 0.002953473
## 1.Mid 0.012199270 0.02314489 0.01206073 0.01363606 0.012613550 0.008529143
## 1.High 0.000000000 0.02392451 0.01943124 0.01038786 0.005168375 0.000000000
## ci_l.m7p151 ci_l.m7p152 ci_l.m7p153 ci_l.m7p154 ci_l.m7p155
## 1.Low 0.8361143 0.03813685 0.0088935437 -0.001529873 -0.002849106
## 1.Mid 0.8465180 0.02995731 -0.0004583651 -0.008666273 -0.004517543
## 1.High 0.8441864 0.03820425 0.0071022469 -0.004958240 0.000000000
## ci_u.m7p151 ci_u.m7p152 ci_u.m7p153 ci_u.m7p154 ci_u.m7p155 DEff.m7p151
## 1.Low 0.9288782 0.1084660 0.07048366 0.004678097 0.008728296 2.053317
## 1.Mid 0.9372443 0.0772345 0.05299403 0.040777936 0.028916082 4.629530
## 1.High 0.9379687 0.1143733 0.04782190 0.015301419 0.000000000 2.766859
## DEff.m7p152 DEff.m7p153 DEff.m7p154 DEff.m7p155
## 1.Low 1.801704 2.462677 0.6067517 1.131557
## 1.Mid 2.389869 6.058282 8.3927931 5.030865
## 1.High 2.513841 1.895596 2.4359567 NaN## person Area m7p151 m7p152 m7p153 m7p154 m7p155
## 1.Urban 1 Urban 0.8884003 0.06386389 0.03005275 0.010475259 0.007207828
## 1.Rural 1 Rural 0.9045254 0.07160398 0.01981063 0.004059965 0.000000000
## se.m7p151 se.m7p152 se.m7p153 se.m7p154 se.m7p155 ci_l.m7p151
## 1.Urban 0.01526584 0.009474962 0.008685087 0.007130857 0.00469725 0.8584798
## 1.Rural 0.04409279 0.036284355 0.010876623 0.002926856 0.00000000 0.8181051
## ci_l.m7p152 ci_l.m7p153 ci_l.m7p154 ci_l.m7p155 ci_u.m7p151
## 1.Urban 0.0452933001 0.013030290 -0.003500964 -0.001998613 0.9183208
## 1.Rural 0.0004879498 -0.001507156 -0.001676567 0.000000000 0.9909457
## ci_u.m7p152 ci_u.m7p153 ci_u.m7p154 ci_u.m7p155 DEff.m7p151 DEff.m7p152
## 1.Urban 0.08243447 0.04707521 0.024451482 0.01641427 3.433234 2.193281
## 1.Rural 0.14272001 0.04112842 0.009796497 0.00000000 5.023401 4.419159
## DEff.m7p153 DEff.m7p154 DEff.m7p155
## 1.Urban 3.779633 7.1651549 4.503583
## 1.Rural 1.359412 0.4727358 NaN## person Region m7p151 m7p152 m7p153 m7p154 m7p155
## 1.1 1 1 0.8984348 0.08176939 0.01979583 0.0000000000 0.000000000
## 1.2 1 2 0.8527933 0.12229932 0.02490734 0.0000000000 0.000000000
## 1.3 1 3 0.9069397 0.03270731 0.05084998 0.0000000000 0.009502964
## 1.4 1 4 0.9506234 0.04937658 0.00000000 0.0000000000 0.000000000
## 1.5 1 5 0.7577467 0.21934527 0.02290808 0.0000000000 0.000000000
## 1.6 1 6 0.8434965 0.08426433 0.00000000 0.0722391661 0.000000000
## 1.7 1 7 0.8951380 0.05006807 0.03959580 0.0006578144 0.014540346
## 1.8 1 8 0.9025143 0.09748572 0.00000000 0.0000000000 0.000000000
## 1.9 1 9 0.9303587 0.03192018 0.03772115 0.0000000000 0.000000000
## 1.10 1 10 0.9239104 0.03699799 0.01711871 0.0219728596 0.000000000
## 1.11 1 11 0.9322915 0.03891784 0.02879069 0.0000000000 0.000000000
## 1.12 1 12 0.9132561 0.03871690 0.04802701 0.0000000000 0.000000000
## 1.13 1 13 0.8586057 0.09409923 0.04220788 0.0050872306 0.000000000
## 1.14 1 14 0.8093664 0.16211776 0.02851584 0.0000000000 0.000000000
## 1.15 1 15 0.9037535 0.08297014 0.01327633 0.0000000000 0.000000000
## se.m7p151 se.m7p152 se.m7p153 se.m7p154 se.m7p155 ci_l.m7p151
## 1.1 0.03985011 0.03638428 0.01950938 0.0000000000 0.000000000 0.8203300
## 1.2 0.04888632 0.04366099 0.01671312 0.0000000000 0.000000000 0.7569779
## 1.3 0.05212063 0.02212513 0.04858932 0.0000000000 0.009715558 0.8047852
## 1.4 0.02064431 0.02064431 0.00000000 0.0000000000 0.000000000 0.9101613
## 1.5 0.08559680 0.07321929 0.01654885 0.0000000000 0.000000000 0.5899800
## 1.6 0.06231372 0.02995789 0.00000000 0.0597870504 0.000000000 0.7213639
## 1.7 0.02521754 0.01563124 0.01678995 0.0006635259 0.009762983 0.8457125
## 1.8 0.04691400 0.04691400 0.00000000 0.0000000000 0.000000000 0.8105645
## 1.9 0.03252855 0.01802508 0.02563332 0.0000000000 0.000000000 0.8666039
## 1.10 0.02841791 0.01697894 0.01264518 0.0169219172 0.000000000 0.8682124
## 1.11 0.03008964 0.02167671 0.02131959 0.0000000000 0.000000000 0.8733169
## 1.12 0.04435035 0.02234632 0.04161070 0.0000000000 0.000000000 0.8263310
## 1.13 0.04579358 0.03798144 0.02017600 0.0053160442 0.000000000 0.7688519
## 1.14 0.05447291 0.04861890 0.02377971 0.0000000000 0.000000000 0.7026015
## 1.15 0.07085307 0.07040789 0.01333788 0.0000000000 0.000000000 0.7648841
## ci_l.m7p152 ci_l.m7p153 ci_l.m7p154 ci_l.m7p155 ci_u.m7p151
## 1.1 0.010457507 -0.018441848 0.0000000000 0.000000000 0.9765396
## 1.2 0.036725357 -0.007849782 0.0000000000 0.000000000 0.9486088
## 1.3 -0.010657154 -0.044383331 0.0000000000 -0.009539179 1.0090943
## 1.4 0.008914481 0.000000000 0.0000000000 0.000000000 0.9910855
## 1.5 0.075838089 -0.009527075 0.0000000000 0.000000000 0.9255133
## 1.6 0.025547939 0.000000000 -0.0449412995 0.000000000 0.9656291
## 1.7 0.019431406 0.006688111 -0.0006426724 -0.004594750 0.9445634
## 1.8 0.005535963 0.000000000 0.0000000000 0.000000000 0.9944640
## 1.9 -0.003408331 -0.012519239 0.0000000000 0.000000000 0.9941135
## 1.10 0.003719873 -0.007665384 -0.0111934886 0.000000000 0.9796085
## 1.11 -0.003567727 -0.012994937 0.0000000000 0.000000000 0.9912661
## 1.12 -0.005081081 -0.033528468 0.0000000000 0.000000000 1.0001812
## 1.13 0.019656975 0.002663644 -0.0053320245 0.000000000 0.9483594
## 1.14 0.066826473 -0.018091548 0.0000000000 0.000000000 0.9161313
## 1.15 -0.055026780 -0.012865445 0.0000000000 0.000000000 1.0426230
## ci_u.m7p152 ci_u.m7p153 ci_u.m7p154 ci_u.m7p155 DEff.m7p151 DEff.m7p152
## 1.1 0.15308128 0.05803351 0.000000000 0.00000000 2.0226007 2.0491221
## 1.2 0.20787329 0.05766446 0.000000000 0.00000000 1.9252024 1.7959313
## 1.3 0.07607178 0.14608329 0.000000000 0.02854511 2.0291366 0.9754471
## 1.4 0.08983868 0.00000000 0.000000000 0.00000000 0.7273863 0.7273863
## 1.5 0.36285245 0.05534323 0.000000000 0.00000000 3.5540755 2.7878486
## 1.6 0.14298072 0.00000000 0.189419632 0.00000000 4.7082781 1.8617044
## 1.7 0.08070473 0.07250349 0.001958301 0.03367544 1.9243738 1.4592359
## 1.8 0.18943548 0.00000000 0.000000000 0.00000000 2.1774259 2.1774259
## 1.9 0.06724868 0.08796154 0.000000000 0.00000000 1.6991666 1.0939610
## 1.10 0.07027611 0.04190281 0.055139208 0.00000000 1.8502654 1.3032287
## 1.11 0.08140341 0.07057632 0.000000000 0.00000000 1.3775242 1.2065292
## 1.12 0.08251488 0.12958249 0.000000000 0.00000000 2.0379095 1.1012410
## 1.13 0.16854149 0.08175212 0.015506486 0.00000000 1.3480396 1.3206734
## 1.14 0.25740905 0.07512322 0.000000000 0.00000000 1.8336122 1.6591573
## 1.15 0.22096706 0.03941810 0.000000000 0.00000000 4.2798254 4.8314868
## DEff.m7p153 DEff.m7p154 DEff.m7p155
## 1.1 2.2797083 NaN NaN
## 1.2 1.1630947 NaN NaN
## 1.3 3.0838310 NaN 0.6322049
## 1.4 NaN NaN NaN
## 1.5 1.0894743 NaN NaN
## 1.6 NaN 8.5370457 NaN
## 1.7 2.1056563 0.1902349 1.8894855
## 1.8 NaN NaN NaN
## 1.9 1.8834228 NaN NaN
## 1.10 1.5306734 2.1461808 NaN
## 1.11 1.5611806 NaN NaN
## 1.12 3.1082947 NaN NaN
## 1.13 0.7858229 0.4357426 NaN
## 1.14 1.9461772 NaN NaN
## 1.15 1.0070334 NaN NaN## person m7p161 m7p162 m7p163 m7p164 m7p165 se.m7p161
## 1 1 0.9281452 0.06174249 0.007598598 0.002513705 0 0.01236592
## se.m7p162 se.m7p163 se.m7p164 se.m7p165 ci_l.m7p161 ci_l.m7p162
## 1 0.01161086 0.004041845 0.002091526 0 0.9039084 0.03898562
## ci_l.m7p163 ci_l.m7p164 ci_l.m7p165 ci_u.m7p161 ci_u.m7p162 ci_u.m7p163
## 1 -0.0003232728 -0.001585612 0 0.952382 0.08449936 0.01552047
## ci_u.m7p164 ci_u.m7p165 DEff.m7p161 DEff.m7p162 DEff.m7p163 DEff.m7p164
## 1 0.006613021 0 3.862888 3.920609 3.649802 2.939249
## DEff.m7p165
## 1 NaN## person Age m7p161 m7p162 m7p163 m7p164 m7p165
## 1.17-24 1 17-24 0.9183525 0.07460207 0.006787202 0.0002582312 0
## 1.25-44 1 25-44 0.9190305 0.06757519 0.008878977 0.0045153800 0
## 1.45-64 1 45-64 0.9889098 0.01109017 0.000000000 0.0000000000 0
## 1.65+ 1 65+ 0.9331763 0.05693161 0.008328993 0.0015631285 0
## se.m7p161 se.m7p162 se.m7p163 se.m7p164 se.m7p165 ci_l.m7p161
## 1.17-24 0.026534241 0.026175656 0.004402221 0.0002598488 0 0.8663463
## 1.25-44 0.019731796 0.017629684 0.008258490 0.0045081889 0 0.8803568
## 1.45-64 0.007910423 0.007910423 0.000000000 0.0000000000 0 0.9734057
## 1.65+ 0.025795573 0.025571266 0.004474178 0.0015659061 0 0.8826179
## ci_l.m7p162 ci_l.m7p163 ci_l.m7p164 ci_l.m7p165 ci_u.m7p161
## 1.17-24 0.023298729 -0.0018409934 -0.000251063 0 0.9703587
## 1.25-44 0.033021640 -0.0073073659 -0.004320508 0 0.9577041
## 1.45-64 -0.004413971 0.0000000000 0.000000000 0 1.0044140
## 1.65+ 0.006812850 -0.0004402352 -0.001505991 0 0.9837347
## ci_u.m7p162 ci_u.m7p163 ci_u.m7p164 ci_u.m7p165 DEff.m7p161
## 1.17-24 0.12590542 0.01541540 0.0007675255 0 2.2448636
## 1.25-44 0.10212873 0.02506532 0.0133512679 0 3.4545252
## 1.45-64 0.02659432 0.00000000 0.0000000000 0 0.8619754
## 1.65+ 0.10705037 0.01709822 0.0046322481 0 6.7374798
## DEff.m7p162 DEff.m7p163 DEff.m7p164 DEff.m7p165
## 1.17-24 2.3727103 0.6872894 0.06252789 NaN
## 1.25-44 3.2568273 5.1170353 2.98525953 NaN
## 1.45-64 0.8619754 NaN NaN NaN
## 1.65+ 7.6896986 1.5302697 0.99201377 NaN## person Educational_level m7p161 m7p162 m7p163 m7p164
## 1.Low 1 Low 0.8966680 0.08755791 0.013526704 0.0022473564
## 1.Mid 1 Mid 0.9370056 0.04991139 0.008904501 0.0041785084
## 1.High 1 High 0.9322411 0.06523521 0.002361917 0.0001617864
## m7p165 se.m7p161 se.m7p162 se.m7p163 se.m7p164 se.m7p165
## 1.Low 0 0.03696319 0.03646293 0.006599065 0.0022549641 0
## 1.Mid 0 0.01708209 0.01499856 0.007660043 0.0041665661 0
## 1.High 0 0.01904040 0.01888539 0.002369339 0.0001625031 0
## ci_l.m7p161 ci_l.m7p162 ci_l.m7p163 ci_l.m7p164 ci_l.m7p165
## 1.Low 0.8242215 0.01609187 0.0005927749 -0.0021722919 0
## 1.Mid 0.9035253 0.02051475 -0.0061089085 -0.0039878111 0
## 1.High 0.8949226 0.02822053 -0.0022819013 -0.0001567138 0
## ci_u.m7p161 ci_u.m7p162 ci_u.m7p163 ci_u.m7p164 ci_u.m7p165 DEff.m7p161
## 1.Low 0.9691146 0.15902394 0.026460633 0.0066670048 0 5.606502
## 1.Mid 0.9704859 0.07930803 0.023917910 0.0123448279 0 4.119768
## 1.High 0.9695596 0.10224989 0.007005735 0.0004802865 0 2.692719
## DEff.m7p162 DEff.m7p163 DEff.m7p164 DEff.m7p165
## 1.Low 6.327352 1.240815 0.8621918 NaN
## 1.Mid 3.953398 5.540800 3.4768734 NaN
## 1.High 2.744106 1.117764 0.0765923 NaN## person Area m7p161 m7p162 m7p163 m7p164 m7p165
## 1.Urban 1 Urban 0.9275135 0.06583755 0.006590416 0.0000584889 0
## 1.Rural 1 Rural 0.9342178 0.02237366 0.017290989 0.0261175111 0
## se.m7p161 se.m7p162 se.m7p163 se.m7p164 se.m7p165 ci_l.m7p161
## 1.Urban 0.01337157 0.01273744 0.004310426 5.862074e-05 0 0.9013057
## 1.Rural 0.02650134 0.01311469 0.011204621 2.166114e-02 0 0.8822762
## ci_l.m7p162 ci_l.m7p163 ci_l.m7p164 ci_l.m7p165 ci_u.m7p161
## 1.Urban 0.040872635 -0.001857863 -5.640564e-05 0 0.9537213
## 1.Rural -0.003330664 -0.004669665 -1.633755e-02 0 0.9861595
## ci_u.m7p162 ci_u.m7p163 ci_u.m7p164 ci_u.m7p165 DEff.m7p161
## 1.Urban 0.09080247 0.01503870 0.0001733834 0 3.884378
## 1.Rural 0.04807798 0.03925164 0.0685725744 0 2.550061
## DEff.m7p162 DEff.m7p163 DEff.m7p164 DEff.m7p165
## 1.Urban 3.853022 4.145078 0.08581992 NaN
## 1.Rural 1.754597 1.648621 4.11619293 NaN## person Region m7p161 m7p162 m7p163 m7p164 m7p165
## 1.1 1 1 0.9176715 0.08232853 0.000000000 0.0000000000 0
## 1.2 1 2 0.9457668 0.05423322 0.000000000 0.0000000000 0
## 1.3 1 3 0.9291411 0.04983869 0.021020232 0.0000000000 0
## 1.4 1 4 0.9143337 0.08566630 0.000000000 0.0000000000 0
## 1.5 1 5 0.9571411 0.03361467 0.009244227 0.0000000000 0
## 1.6 1 6 0.8476254 0.15237465 0.000000000 0.0000000000 0
## 1.7 1 7 0.9431762 0.04814595 0.008677833 0.0000000000 0
## 1.8 1 8 0.8294799 0.17052015 0.000000000 0.0000000000 0
## 1.9 1 9 0.9631616 0.02431119 0.012527246 0.0000000000 0
## 1.10 1 10 0.9494863 0.03567645 0.014315385 0.0005218704 0
## 1.11 1 11 0.9333978 0.03085377 0.000000000 0.0357484119 0
## 1.12 1 12 0.9462884 0.05017018 0.003541369 0.0000000000 0
## 1.13 1 13 0.9044972 0.07026393 0.014916442 0.0103224606 0
## 1.14 1 14 0.9412288 0.05877118 0.000000000 0.0000000000 0
## 1.15 1 15 0.9750232 0.02497678 0.000000000 0.0000000000 0
## se.m7p161 se.m7p162 se.m7p163 se.m7p164 se.m7p165 ci_l.m7p161
## 1.1 0.04125120 0.04125120 0.000000000 0.0000000000 0 0.8368206
## 1.2 0.02662776 0.02662776 0.000000000 0.0000000000 0 0.8935773
## 1.3 0.04197248 0.03237687 0.015081354 0.0000000000 0 0.8468765
## 1.4 0.06831435 0.06831435 0.000000000 0.0000000000 0 0.7804400
## 1.5 0.02637024 0.02420731 0.009447749 0.0000000000 0 0.9054564
## 1.6 0.06298480 0.06298480 0.000000000 0.0000000000 0 0.7241774
## 1.7 0.01779111 0.01576055 0.008657281 0.0000000000 0 0.9083063
## 1.8 0.09347415 0.09347415 0.000000000 0.0000000000 0 0.6462739
## 1.9 0.02368785 0.01957401 0.012938062 0.0000000000 0 0.9167342
## 1.10 0.01987220 0.01524873 0.010432257 0.0005284211 0 0.9105375
## 1.11 0.03908084 0.02101336 0.000000000 0.0345370660 0 0.8568008
## 1.12 0.04163571 0.04150209 0.003706101 0.0000000000 0 0.8646840
## 1.13 0.04008405 0.03785727 0.011582265 0.0099353327 0 0.8259339
## 1.14 0.02615880 0.02615880 0.000000000 0.0000000000 0 0.8899585
## 1.15 0.01676504 0.01676504 0.000000000 0.0000000000 0 0.9421644
## ci_l.m7p162 ci_l.m7p163 ci_l.m7p164 ci_l.m7p165 ci_u.m7p161
## 1.1 0.001477669 0.000000000 0.0000000000 0 0.9985223
## 1.2 0.002043775 0.000000000 0.0000000000 0 0.9979562
## 1.3 -0.013618807 -0.008538679 0.0000000000 0 1.0114056
## 1.4 -0.048227366 0.000000000 0.0000000000 0 1.0482274
## 1.5 -0.013830791 -0.009273021 0.0000000000 0 1.0088258
## 1.6 0.028926711 0.000000000 0.0000000000 0 0.9710733
## 1.7 0.017255847 -0.008290126 0.0000000000 0 0.9780461
## 1.8 -0.012685818 0.000000000 0.0000000000 0 1.0126858
## 1.9 -0.014053160 -0.012830889 0.0000000000 0 1.0095889
## 1.10 0.005789483 -0.006131463 -0.0005138159 0 0.9884351
## 1.11 -0.010331667 0.000000000 -0.0319429936 0 1.0099949
## 1.12 -0.031172413 -0.003722456 0.0000000000 0 1.0278929
## 1.13 -0.003934969 -0.007784381 -0.0091504337 0 0.9830605
## 1.14 0.007500880 0.000000000 0.0000000000 0 0.9924991
## 1.15 -0.007882082 0.000000000 0.0000000000 0 1.0078821
## ci_u.m7p162 ci_u.m7p163 ci_u.m7p164 ci_u.m7p165 DEff.m7p161 DEff.m7p162
## 1.1 0.16317940 0.00000000 0.000000000 0 2.6176902 2.6176902
## 1.2 0.10642266 0.00000000 0.000000000 0 1.3979537 1.3979537
## 1.3 0.11329619 0.05057914 0.000000000 0 1.6868937 1.3955339
## 1.4 0.21955996 0.00000000 0.000000000 0 4.7731292 4.7731292
## 1.5 0.08106013 0.02776148 0.000000000 0 1.5094429 1.6062730
## 1.6 0.27582259 0.00000000 0.000000000 0 4.9165103 4.9165103
## 1.7 0.07903606 0.02564579 0.000000000 0 1.6775486 1.5395879
## 1.8 0.35372611 0.00000000 0.000000000 0 5.3769372 5.3769372
## 1.9 0.06267555 0.03788538 0.000000000 0 1.6454130 1.6806059
## 1.10 0.06556341 0.03476223 0.001557557 0 1.3261686 1.0885984
## 1.11 0.07203920 0.00000000 0.103439817 0 2.3595708 1.4182538
## 1.12 0.13151278 0.01080519 0.000000000 0 2.7993870 2.9666797
## 1.13 0.14446282 0.03761727 0.029795355 0 1.4515735 1.7120871
## 1.14 0.11004148 0.00000000 0.000000000 0 1.1794155 1.1794155
## 1.15 0.05783565 0.00000000 0.000000000 0 0.8558565 0.8558565
## DEff.m7p163 DEff.m7p164 DEff.m7p165
## 1.1 NaN NaN NaN
## 1.2 NaN NaN NaN
## 1.3 0.6967935 NaN NaN
## 1.4 NaN NaN NaN
## 1.5 0.8678105 NaN NaN
## 1.6 NaN NaN NaN
## 1.7 2.4747368 NaN NaN
## 1.8 NaN NaN NaN
## 1.9 1.4079318 NaN NaN
## 1.10 1.2422821 0.08622417 NaN
## 1.11 NaN 3.32341173 NaN
## 1.12 0.3194673 NaN NaN
## 1.13 0.7124723 0.75406214 NaN
## 1.14 NaN NaN NaN
## 1.15 NaN NaN NaN## person m7p171 m7p172 m7p173 se.m7p171 se.m7p172 se.m7p173
## 1 1 0.9906429 0.00560212 0.003754942 0.002884558 0.002324053 0.001690697
## ci_l.m7p171 ci_l.m7p172 ci_l.m7p173 ci_u.m7p171 ci_u.m7p172 ci_u.m7p173
## 1 0.9849893 0.00104706 0.0004412364 0.9962966 0.01015718 0.007068649
## DEff.m7p171 DEff.m7p172 DEff.m7p173
## 1 2.553164 2.757758 2.173397## person Age m7p171 m7p172 m7p173 se.m7p171
## 1.17-24 1 17-24 0.9924163 0.0010406243 0.006543067 0.006104849
## 1.25-44 1 25-44 0.9905420 0.0069945196 0.002463527 0.004941552
## 1.45-64 1 45-64 0.9952578 0.0003144813 0.004427765 0.004457687
## 1.65+ 1 65+ 0.9883080 0.0082985468 0.003393496 0.004821039
## se.m7p172 se.m7p173 ci_l.m7p171 ci_l.m7p172 ci_l.m7p173
## 1.17-24 0.0008680515 0.006041422 0.9804510 -0.0006607254 -0.005297903
## 1.25-44 0.0046718368 0.001626307 0.9808567 -0.0021621123 -0.000723977
## 1.45-64 0.0003164837 0.004443334 0.9865208 -0.0003058154 -0.004281009
## 1.65+ 0.0040555126 0.002670928 0.9788589 0.0003498882 -0.001841425
## ci_u.m7p171 ci_u.m7p172 ci_u.m7p173 DEff.m7p171 DEff.m7p172 DEff.m7p173
## 1.17-24 1.004382 0.002741974 0.018384038 1.907052 0.2791492 2.162396
## 1.25-44 1.000227 0.016151151 0.005651031 2.479661 2.9895485 1.023903
## 1.45-64 1.003995 0.000934778 0.013136539 1.048903 0.0793744 1.115826
## 1.65+ 0.997757 0.016247205 0.008628418 2.526069 2.5098926 2.649109## person Educational_level m7p171 m7p172 m7p173 se.m7p171
## 1.Low 1 Low 0.9753632 0.019990279 0.004646541 0.010926937
## 1.Mid 1 Mid 0.9951587 0.001998694 0.002842585 0.001793737
## 1.High 1 High 0.9940304 0.001157142 0.004812464 0.004932429
## se.m7p172 se.m7p173 ci_l.m7p171 ci_l.m7p172 ci_l.m7p173
## 1.Low 0.010477803 0.003609961 0.9539468 -5.458381e-04 -2.428854e-03
## 1.Mid 0.001008362 0.001475399 0.9916431 2.234054e-05 -4.914308e-05
## 1.High 0.001158332 0.004797016 0.9843630 -1.113147e-03 -4.589515e-03
## ci_u.m7p171 ci_u.m7p172 ci_u.m7p173 DEff.m7p171 DEff.m7p172 DEff.m7p173
## 1.Low 0.9967796 0.040526397 0.011721935 4.2062584 4.7439631 2.385328
## 1.Mid 0.9986744 0.003975048 0.005734313 0.9266794 0.7073268 1.065629
## 1.High 1.0036978 0.003427431 0.014214442 2.4936734 0.7060661 2.922355## person Area m7p171 m7p172 m7p173 se.m7p171 se.m7p172
## 1.Urban 1 Urban 0.9912189 0.004831918 0.003949150 0.003084374 0.002404082
## 1.Rural 1 Rural 0.9865113 0.011126858 0.002361871 0.008091494 0.007888114
## se.m7p173 ci_l.m7p171 ci_l.m7p172 ci_l.m7p173 ci_u.m7p171
## 1.Urban 0.001911266 0.9851737 0.000120003 0.0002031374 0.9972642
## 1.Rural 0.001724239 0.9706522 -0.004333560 -0.0010175747 1.0023703
## ci_u.m7p172 ci_u.m7p173 DEff.m7p171 DEff.m7p172 DEff.m7p173
## 1.Urban 0.009543833 0.007695163 2.563081 2.818565 2.1777224
## 1.Rural 0.026587277 0.005741317 2.451886 2.818053 0.6287551## person Region m7p171 m7p172 m7p173 se.m7p171 se.m7p172
## 1.1 1 1 0.9775237 0.015826009 0.006650311 0.011967618 0.010265389
## 1.2 1 2 1.0000000 0.000000000 0.000000000 0.000000000 0.000000000
## 1.3 1 3 0.9826259 0.006060667 0.011313406 0.017502019 0.006105299
## 1.4 1 4 1.0000000 0.000000000 0.000000000 0.000000000 0.000000000
## 1.5 1 5 0.9877029 0.010232374 0.002064729 0.010418122 0.010212271
## 1.6 1 6 0.9928173 0.000000000 0.007182701 0.005915437 0.000000000
## 1.7 1 7 0.9869212 0.007987813 0.005090997 0.006482138 0.005344171
## 1.8 1 8 0.9924844 0.002167260 0.005348342 0.006049858 0.002255107
## 1.9 1 9 0.9957455 0.004254540 0.000000000 0.003518810 0.003518810
## 1.10 1 10 0.9954368 0.004563241 0.000000000 0.004468347 0.004468347
## 1.11 1 11 1.0000000 0.000000000 0.000000000 0.000000000 0.000000000
## 1.12 1 12 0.9893306 0.010669352 0.000000000 0.010591539 0.010591539
## 1.13 1 13 0.9906670 0.006642648 0.002690366 0.007284768 0.006615287
## 1.14 1 14 0.9816263 0.014400160 0.003973572 0.010994958 0.010383427
## 1.15 1 15 1.0000000 0.000000000 0.000000000 0.000000000 0.000000000
## se.m7p173 ci_l.m7p171 ci_l.m7p172 ci_l.m7p173 ci_u.m7p171 ci_u.m7p172
## 1.1 0.006566107 0.9540676 -0.004293784 -0.006219022 1.0009798 0.035945802
## 1.2 0.000000000 1.0000000 0.000000000 0.000000000 1.0000000 0.000000000
## 1.3 0.011396720 0.9483226 -0.005905499 -0.011023755 1.0169293 0.018026833
## 1.4 0.000000000 1.0000000 0.000000000 0.000000000 1.0000000 0.000000000
## 1.5 0.002103625 0.9672838 -0.009783310 -0.002058300 1.0081220 0.030248058
## 1.6 0.005915437 0.9812233 0.000000000 -0.004411343 1.0044113 0.000000000
## 1.7 0.003704522 0.9742164 -0.002486570 -0.002169734 0.9996259 0.018462196
## 1.8 0.005476652 0.9806269 -0.002252668 -0.005385699 1.0043419 0.006587189
## 1.9 0.000000000 0.9888487 -0.002642200 0.000000000 1.0026422 0.011151281
## 1.10 0.000000000 0.9866790 -0.004194558 0.000000000 1.0041946 0.013321040
## 1.11 0.000000000 1.0000000 0.000000000 0.000000000 1.0000000 0.000000000
## 1.12 0.000000000 0.9685716 -0.010089683 0.000000000 1.0100897 0.031428388
## 1.13 0.002806506 0.9763891 -0.006323078 -0.002810285 1.0049449 0.019608373
## 1.14 0.003928838 0.9600765 -0.005950983 -0.003726808 1.0031760 0.034751302
## 1.15 0.000000000 1.0000000 0.000000000 0.000000000 1.0000000 0.000000000
## ci_u.m7p173 DEff.m7p171 DEff.m7p172 DEff.m7p173
## 1.1 0.019519643 1.1300145 1.1728125 1.1313392
## 1.2 0.000000000 NaN NaN NaN
## 1.3 0.033650568 2.2803404 0.7864060 1.4757779
## 1.4 0.000000000 NaN NaN NaN
## 1.5 0.006187759 1.3143369 1.5145793 0.3158844
## 1.6 0.018776745 1.4727723 NaN 1.4727723
## 1.7 0.012351727 1.3869780 1.5356758 1.1544151
## 1.8 0.016082383 0.7707712 0.3693926 0.8856514
## 1.9 0.000000000 0.5643860 0.5643860 NaN
## 1.10 0.000000000 1.2840019 1.2840019 NaN
## 1.11 0.000000000 NaN NaN NaN
## 1.12 0.000000000 1.5745795 1.5745795 NaN
## 1.13 0.008191016 0.8211727 0.9488626 0.4199941
## 1.14 0.011673953 0.9557469 1.0832103 0.5561289
## 1.15 0.000000000 NaN NaN NaN## person m7p181 m7p182 m7p183 se.m7p181 se.m7p182 se.m7p183
## 1 1 0.9411229 0.02152619 0.03735088 0.01161163 0.007664448 0.008056446
## ci_l.m7p181 ci_l.m7p182 ci_l.m7p183 ci_u.m7p181 ci_u.m7p182 ci_u.m7p183
## 1 0.9183646 0.006504147 0.02156053 0.9638813 0.03654823 0.05314122
## DEff.m7p181 DEff.m7p182 DEff.m7p183
## 1 6.921027 7.93272 5.134462## person Age m7p181 m7p182 m7p183 se.m7p181 se.m7p182
## 1.17-24 1 17-24 0.9386767 0.02553198 0.03579134 0.01816835 0.014015993
## 1.25-44 1 25-44 0.9384131 0.02929336 0.03229352 0.02066636 0.014047148
## 1.45-64 1 45-64 0.9444896 0.00000000 0.05551036 0.04992977 0.000000000
## 1.65+ 1 65+ 0.9459695 0.01287215 0.04115839 0.01581182 0.004166035
## se.m7p183 ci_l.m7p181 ci_l.m7p182 ci_l.m7p183 ci_u.m7p181 ci_u.m7p182
## 1.17-24 0.01198092 0.9030674 -0.001938859 0.01230917 0.9742860 0.05300282
## 1.25-44 0.01277999 0.8979078 0.001761458 0.00724521 0.9789184 0.05682527
## 1.45-64 0.04992977 0.8466291 0.000000000 -0.04235018 1.0423502 0.00000000
## 1.65+ 0.01542295 0.9149789 0.004706868 0.01092997 0.9769601 0.02103742
## ci_u.m7p183 DEff.m7p181 DEff.m7p182 DEff.m7p183
## 1.17-24 0.05927351 2.208393 3.040765 1.601838
## 1.25-44 0.05734184 7.030485 6.601747 4.972119
## 1.45-64 0.15337090 11.846328 NaN 11.846328
## 1.65+ 0.07138682 6.143192 1.715410 7.569654## person Educational_level m7p181 m7p182 m7p183 se.m7p181
## 1.Low 1 Low 0.9338710 0.01463986 0.05148913 0.02051112
## 1.Mid 1 Mid 0.9483149 0.01157186 0.04011321 0.01400651
## 1.High 1 High 0.9329640 0.04624613 0.02078987 0.02675588
## se.m7p182 se.m7p183 ci_l.m7p181 ci_l.m7p182 ci_l.m7p183 ci_u.m7p181
## 1.Low 0.005069144 0.020140590 0.8936699 0.004704525 0.012014301 0.9740721
## 1.Mid 0.006005416 0.012831146 0.9208627 -0.000198537 0.014964622 0.9757672
## 1.High 0.025781025 0.008646235 0.8805235 -0.004283755 0.003843557 0.9854046
## ci_u.m7p182 ci_u.m7p183 DEff.m7p181 DEff.m7p182 DEff.m7p183
## 1.Low 0.02457520 0.09096396 5.767002 1.507951 7.031315
## 1.Mid 0.02334226 0.06526179 5.554011 4.375244 5.933185
## 1.High 0.09677601 0.03773617 6.961913 9.165408 2.233519## person Area m7p181 m7p182 m7p183 se.m7p181 se.m7p182
## 1.Urban 1 Urban 0.9407192 0.02238167 0.03689915 0.01296928 0.008669794
## 1.Rural 1 Rural 0.9440191 0.01538972 0.04059115 0.01864363 0.007084197
## se.m7p183 ci_l.m7p181 ci_l.m7p182 ci_l.m7p183 ci_u.m7p181 ci_u.m7p182
## 1.Urban 0.008837677 0.9152998 0.005389190 0.019577624 0.9661385 0.03937416
## 1.Rural 0.017848243 0.9074783 0.001504947 0.005609234 0.9805600 0.02927449
## ci_u.m7p183 DEff.m7p181 DEff.m7p182 DEff.m7p183
## 1.Urban 0.05422068 7.072990 8.055658 5.153870
## 1.Rural 0.07557306 3.277605 1.650449 4.076354## person Region m7p181 m7p182 m7p183 se.m7p181 se.m7p182
## 1.1 1 1 0.9859679 0.003097829 0.010934258 0.007692799 0.003112284
## 1.2 1 2 0.9746192 0.015720646 0.009660190 0.013988808 0.012069642
## 1.3 1 3 0.9732544 0.008702556 0.018043048 0.011634121 0.007040210
## 1.4 1 4 0.9677857 0.020247769 0.011966557 0.024411876 0.020681433
## 1.5 1 5 0.9209495 0.006254860 0.072795624 0.043777382 0.006424027
## 1.6 1 6 0.9463548 0.003052808 0.050592437 0.036054552 0.003085615
## 1.7 1 7 0.9334048 0.029566872 0.037028292 0.020650426 0.016057112
## 1.8 1 8 0.7800139 0.096773948 0.123212175 0.095517987 0.066309324
## 1.9 1 9 0.9735316 0.006854696 0.019613708 0.015388328 0.005929964
## 1.10 1 10 0.9709196 0.013300028 0.015780325 0.012314670 0.007458074
## 1.11 1 11 0.9581709 0.011609197 0.030219860 0.020523666 0.011440449
## 1.12 1 12 0.9838289 0.010669352 0.005501751 0.013789322 0.010591539
## 1.13 1 13 0.9657231 0.003167985 0.031108870 0.014191166 0.003208475
## 1.14 1 14 0.9277938 0.039216864 0.032989332 0.039015489 0.036576986
## 1.15 1 15 0.9911326 0.000000000 0.008867418 0.008847177 0.000000000
## se.m7p183 ci_l.m7p181 ci_l.m7p182 ci_l.m7p183 ci_u.m7p181 ci_u.m7p182
## 1.1 0.007140403 0.9708903 -0.003002135 -0.0030606757 1.0010455 0.009197793
## 1.2 0.007129130 0.9472016 -0.007935417 -0.0043126482 1.0020367 0.039376709
## 1.3 0.009585929 0.9504519 -0.005096002 -0.0007450278 0.9960569 0.022501113
## 1.4 0.012318837 0.9199393 -0.020287096 -0.0121779205 1.0156321 0.060782633
## 1.5 0.045395089 0.8351474 -0.006336001 -0.0161771145 1.0067516 0.018845721
## 1.6 0.035819298 0.8756891 -0.002994886 -0.0196120963 1.0170204 0.009100501
## 1.7 0.012676627 0.8929307 -0.001904489 0.0121825603 0.9738789 0.061038232
## 1.8 0.063574690 0.5928021 -0.033189939 -0.0013919273 0.9672257 0.226737835
## 1.9 0.014343257 0.9433710 -0.004767819 -0.0084985596 1.0036922 0.018477211
## 1.10 0.009970338 0.9467833 -0.001317528 -0.0037611782 0.9950560 0.027917585
## 1.11 0.017423854 0.9179453 -0.010813671 -0.0039302668 0.9983966 0.034032065
## 1.12 0.003770375 0.9568023 -0.010089683 -0.0018880483 1.0108555 0.031428388
## 1.13 0.013680987 0.9379090 -0.003120511 0.0042946284 0.9935373 0.009456480
## 1.14 0.020169217 0.8513249 -0.032472711 -0.0065416063 1.0042628 0.110906438
## 1.15 0.008847177 0.9737924 0.000000000 -0.0084727308 1.0084727 0.000000000
## ci_u.m7p183 DEff.m7p181 DEff.m7p182 DEff.m7p183
## 1.1 0.02492919 0.7414890 0.5437126 0.8172446
## 1.2 0.02363303 1.2040815 1.4329641 0.8086089
## 1.3 0.03683112 0.6608481 0.7301862 0.6591425
## 1.4 0.03611103 2.6225962 2.9581841 1.7609861
## 1.5 0.16176836 3.8718292 0.9765152 4.4904924
## 1.6 0.12079697 7.6851796 0.9389247 8.0170549
## 1.7 0.06187402 2.9230012 3.8286667 1.9201887
## 1.8 0.24781628 8.3520939 7.9016346 5.8768285
## 1.9 0.04772598 1.7745600 0.9974444 2.0659712
## 1.10 0.03532183 1.5689951 1.2381541 1.8696950
## 1.11 0.06436999 1.6612585 1.8030330 1.6374616
## 1.12 0.01289155 1.7707308 1.5745795 0.3849374
## 1.13 0.05792311 0.8704326 0.4663853 0.8884403
## 1.14 0.07252027 3.2400183 5.0631045 1.8183295
## 1.15 0.02620757 1.1964147 NaN 1.1964147Mean and error of plasma vitamin D levels (ng / mL)
We created this variable before df0$person<-1 “person” is a “variable” with constant value=1 I use “person” to calculate mean in total sample using svyby instead of svymean()
## person outcome se ci_l ci_u DEff.outcome
## 1 1 19.83131 0.2971672 19.24887 20.41375 3.752998## Age outcome se ci_l ci_u DEff.outcome
## 17-24 17-24 19.73892 0.6817870 18.40264 21.07520 2.743411
## 25-44 25-44 20.39341 0.4702821 19.47168 21.31515 3.375004
## 45-64 45-64 19.49219 1.0352181 17.46320 21.52118 4.514760
## 65+ 65+ 19.17567 0.4369275 18.31931 20.03203 3.161749## Educational_level outcome se ci_l ci_u DEff.outcome
## Low Low 19.81829 0.6100450 18.62262 21.01395 4.090887
## Mid Mid 19.78924 0.3670098 19.06992 20.50857 3.234678
## High High 19.92301 0.6942942 18.56222 21.28380 3.827317## Area outcome se ci_l ci_u DEff.outcome
## Urban Urban 19.25252 0.3264780 18.61264 19.89241 3.878011
## Rural Rural 23.98302 0.5634067 22.87876 25.08727 2.432424## Region outcome se ci_l ci_u DEff.outcome
## 1 1 23.55613 0.7301957 22.12497 24.98728 1.603674
## 2 2 25.12925 1.0318820 23.10679 27.15170 2.351417
## 3 3 21.62738 0.9074280 19.84885 23.40590 1.929793
## 4 4 21.97286 1.1197951 19.77810 24.16761 2.682413
## 5 5 20.74514 0.8229747 19.13214 22.35814 2.069355
## 6 6 19.27448 0.6121312 18.07472 20.47423 2.023750
## 7 7 19.44151 0.6155396 18.23507 20.64794 2.368457
## 8 8 20.21160 0.9247124 18.39920 22.02400 2.907884
## 9 9 21.41024 0.7552239 19.93003 22.89045 1.756464
## 10 10 19.89781 0.6284824 18.66601 21.12961 1.582596
## 11 11 19.14295 0.8807695 17.41667 20.86922 1.811370
## 12 12 19.80047 0.9738863 17.89169 21.70925 2.139607
## 13 13 18.77109 1.5138758 15.80395 21.73823 3.602596
## 14 14 14.48358 0.7910785 12.93309 16.03406 1.994908
## 15 15 13.32635 0.8879319 11.58603 15.06666 2.179631Mean and error of plasma vitamin D levels (ng / mL)
Generar tabla de medias, se, n e IC95%
Mean and error of plasma vitamin D levels (ng / mL)
## person outcome se ci_l ci_u DEff.outcome exposure n
## 1 1 19.83131 0.2971672 19.24887 20.41375 3.752998 All 2844
## 2 1 19.81829 0.6100450 18.62262 21.01395 4.090887 Low 847
## 3 1 19.78924 0.3670098 19.06992 20.50857 3.234678 Mid 1388
## 4 1 19.92301 0.6942942 18.56222 21.28380 3.827317 High 609
## outcome_ exposure_
## 1 Mean <NA>
## 2 Mean Educ level
## 3 Mean Educ level
## 4 Mean Educ levelPrevalence of vitamin D <30, <20 and <12
Prevalence of vitamin D <30
## person outcome1 se ci_l ci_u DEff.outcome1 exposure n
## 1 1 0.8876369 0.01068033 0.8667038 0.9085699 3.253020 All 2844
## 2 1 0.8824259 0.02309054 0.8371693 0.9276825 4.350391 Low 847
## 3 1 0.8880016 0.01345601 0.8616283 0.9143749 2.526223 Mid 1388
## 4 1 0.8910657 0.02265392 0.8466648 0.9354665 3.215699 High 609
## outcome1_ exposure_ CI_i CI_s
## 1 Mean <NA> 0.8667034 0.9085703
## 2 Mean Educational levels 0.8371684 0.9276833
## 3 Mean Educational levels 0.8616278 0.9143754
## 4 Mean Educational levels 0.8466640 0.9354674Prevalence of vitamin D <20
## person outcome2 se ci_l ci_u DEff.outcome2 exposure n
## 1 1 0.5382832 0.01859028 0.5018469 0.5747195 3.955142 All 2844
## 2 1 0.5357863 0.03142890 0.4741867 0.5973858 3.362008 Low 847
## 3 1 0.5287345 0.02669916 0.4764051 0.5810639 3.969687 Mid 1388
## 4 1 0.5587359 0.03627010 0.4876478 0.6298240 3.245304 High 609
## outcome_ exposure_ CI_i CI_s
## 1 Mean <NA> 0.5018463 0.5747202
## 2 Mean Educational levels 0.4741856 0.5973869
## 3 Mean Educational levels 0.4764042 0.5810649
## 4 Mean Educational levels 0.4876465 0.6298253Prevalence of vitamin D <12
## person outcome3 se ci_l ci_u DEff.outcome3 exposure n
## 1 1 0.1743517 0.01243459 0.1499803 0.1987230 3.055053 All 2844
## 2 1 0.1949269 0.02610895 0.1437543 0.2460995 3.677237 Low 847
## 3 1 0.1608253 0.01781130 0.1259158 0.1957348 3.261736 Mid 1388
## 4 1 0.1841933 0.02660582 0.1320469 0.2363398 2.865203 High 609
## outcome_ exposure_ CI_i CI_s
## 1 Mean <NA> 0.1499799 0.1987235
## 2 Mean Educational level 0.1437534 0.2461004
## 3 Mean Educational level 0.1259152 0.1957354
## 4 Mean Educational level 0.1320459 0.2363408## person outcome se ci_l ci_u DEff.outcome exposure n
## 1 1 0.8876369 0.01068033 0.8667038 0.9085699 3.253020 All 2844
## 2 1 0.8824259 0.02309054 0.8371693 0.9276825 4.350391 Low 847
## 3 1 0.8880016 0.01345601 0.8616283 0.9143749 2.526223 Mid 1388
## 4 1 0.8910657 0.02265392 0.8466648 0.9354665 3.215699 High 609
## 5 1 0.5382832 0.01859028 0.5018469 0.5747195 3.955142 All 2844
## 6 1 0.5357863 0.03142890 0.4741867 0.5973858 3.362008 Low 847
## 7 1 0.5287345 0.02669916 0.4764051 0.5810639 3.969687 Mid 1388
## 8 1 0.5587359 0.03627010 0.4876478 0.6298240 3.245304 High 609
## 9 1 0.1743517 0.01243459 0.1499803 0.1987230 3.055053 All 2844
## 10 1 0.1949269 0.02610895 0.1437543 0.2460995 3.677237 Low 847
## 11 1 0.1608253 0.01781130 0.1259158 0.1957348 3.261736 Mid 1388
## 12 1 0.1841933 0.02660582 0.1320469 0.2363398 2.865203 High 609
## outcome_ exposure_ CI_i CI_s type
## 1 Mean <NA> 0.8667034 0.9085703 oucome1
## 2 Mean Educational levels 0.8371684 0.9276833 oucome1
## 3 Mean Educational levels 0.8616278 0.9143754 oucome1
## 4 Mean Educational levels 0.8466640 0.9354674 oucome1
## 5 Mean <NA> 0.5018463 0.5747202 oucome2
## 6 Mean Educational levels 0.4741856 0.5973869 oucome2
## 7 Mean Educational levels 0.4764042 0.5810649 oucome2
## 8 Mean Educational levels 0.4876465 0.6298253 oucome2
## 9 Mean <NA> 0.1499799 0.1987235 oucome3
## 10 Mean Educational level 0.1437534 0.2461004 oucome3
## 11 Mean Educational level 0.1259152 0.1957354 oucome3
## 12 Mean Educational level 0.1320459 0.2363408 oucome3Basic Plot
plot2<-ggplot(res0)+
geom_point(aes(x=exposure, y=outcome, col=type))+
geom_errorbar(aes(x=exposure, y=outcome,
ymin = CI_i, ymax = CI_s),
width = 0.1,size = 0.1, position = position_dodge(0.9))
plot2
You can change the labels, the scale into %, background color, etc.
plot2<-plot2 +
facet_wrap(type~ . , scales = "free_y", nrow = 3)
plot2
# https://ggplot2.tidyverse.org/reference/labs.html
# https://www.r-graph-gallery.com/275-add-text-labels-with-ggplot2.htmlVitamin D Ranges
- 0: Vit D >=30
- 1: Vit D 20-29.9
- 2: Vit D 12-19.9
- 3: Vit D <12
Vitamin D Ranges
## person exposure outcome5_0 outcome5_1 outcome5_2 outcome5_3
## 1.Low 1 Low 154684.7 456051.5 448446.7 256452.8
## 1.Mid 1 Mid 359262.3 1152437.3 1180159.0 515886.6
## 1.High 1 High 180636.0 551072.5 621070.3 305431.2
## se.outcome5_0 se.outcome5_1 se.outcome5_2 se.outcome5_3 ci_l.outcome5_0
## 1.Low 32840.64 50568.36 49746.95 38742.09 90318.23
## 1.Mid 47831.98 108057.93 98246.44 61430.72 265513.35
## 1.High 41546.28 74071.13 69181.26 49845.59 99206.76
## ci_l.outcome5_1 ci_l.outcome5_2 ci_l.outcome5_3 ci_u.outcome5_0
## 1.Low 356939.3 350944.5 180519.7 219051.2
## 1.Mid 940647.7 987599.5 395484.6 453011.3
## 1.High 405895.7 485477.5 207735.7 262065.2
## ci_u.outcome5_1 ci_u.outcome5_2 ci_u.outcome5_3 DEff.outcome5_0
## 1.Low 555163.6 545949 332385.9 5.084076
## 1.Mid 1364226.9 1372718 636288.6 3.102243
## 1.High 696249.2 756663 403126.8 3.933453
## DEff.outcome5_1 DEff.outcome5_2 DEff.outcome5_3
## 1.Low 5.522115 5.387141 4.677757
## 1.Mid 6.840432 5.597295 3.770763
## 1.High 5.469540 4.519205 3.657433Vitamin D Ranges
## person exposure outcome5_0 outcome5_1 outcome5_2 outcome5_3
## 1.Low 1 Low 0.1175741 0.3466396 0.3408593 0.1949269
## 1.Mid 1 Mid 0.1119984 0.3592671 0.3679092 0.1608253
## 1.High 1 High 0.1089343 0.3323297 0.3745426 0.1841933
## se.outcome5_0 se.outcome5_1 se.outcome5_2 se.outcome5_3 ci_l.outcome5_0
## 1.Low 0.02309054 0.02993970 0.02958611 0.02610895 0.07231749
## 1.Mid 0.01345601 0.02446921 0.02409455 0.01781130 0.08562509
## 1.High 0.02265392 0.03143769 0.03165360 0.02660582 0.06453346
## ci_l.outcome5_1 ci_l.outcome5_2 ci_l.outcome5_3 ci_u.outcome5_0
## 1.Low 0.2879589 0.2828716 0.1437543 0.1628307
## 1.Mid 0.3113083 0.3206848 0.1259158 0.1383717
## 1.High 0.2707130 0.3125027 0.1320469 0.1533352
## ci_u.outcome5_1 ci_u.outcome5_2 ci_u.outcome5_3 DEff.outcome5_0
## 1.Low 0.4053204 0.3988471 0.2460995 4.350391
## 1.Mid 0.4072259 0.4151337 0.1957348 2.526223
## 1.High 0.3939465 0.4365825 0.2363398 3.215699
## DEff.outcome5_1 DEff.outcome5_2 DEff.outcome5_3
## 1.Low 3.350533 3.298165 3.677237
## 1.Mid 3.609190 3.464033 3.261736
## 1.High 2.709150 2.601419 2.865203Vitamin D Ranges
Vitamin D Ranges
## ci_l.outcome5_0 ci_l.outcome5_1 ci_l.outcome5_2 ci_l.outcome5_3
## 2 0.07231749 0.2879589 0.2828716 0.1437543
## 3 0.08562509 0.3113083 0.3206848 0.1259158
## 4 0.06453346 0.2707130 0.3125027 0.1320469
## 6 0.07231749 0.2879589 0.2828716 0.1437543
## 7 0.08562509 0.3113083 0.3206848 0.1259158
## 8 0.06453346 0.2707130 0.3125027 0.1320469
## 10 0.07231749 0.2879589 0.2828716 0.1437543
## 11 0.08562509 0.3113083 0.3206848 0.1259158
## 12 0.06453346 0.2707130 0.3125027 0.1320469
## 14 0.07231749 0.2879589 0.2828716 0.1437543
## 15 0.08562509 0.3113083 0.3206848 0.1259158
## 16 0.06453346 0.2707130 0.3125027 0.1320469
## 1 0.09143009 0.3154468 0.3310229 0.1499803
## 5 0.09143009 0.3154468 0.3310229 0.1499803
## 9 0.09143009 0.3154468 0.3310229 0.1499803
## 13 0.09143009 0.3154468 0.3310229 0.1499803
## ci_u.outcome5_0 ci_u.outcome5_1 ci_u.outcome5_2 ci_u.outcome5_3
## 2 0.1628307 0.4053204 0.3988471 0.2460995
## 3 0.1383717 0.4072259 0.4151337 0.1957348
## 4 0.1533352 0.3939465 0.4365825 0.2363398
## 6 0.1628307 0.4053204 0.3988471 0.2460995
## 7 0.1383717 0.4072259 0.4151337 0.1957348
## 8 0.1533352 0.3939465 0.4365825 0.2363398
## 10 0.1628307 0.4053204 0.3988471 0.2460995
## 11 0.1383717 0.4072259 0.4151337 0.1957348
## 12 0.1533352 0.3939465 0.4365825 0.2363398
## 14 0.1628307 0.4053204 0.3988471 0.2460995
## 15 0.1383717 0.4072259 0.4151337 0.1957348
## 16 0.1533352 0.3939465 0.4365825 0.2363398
## 1 0.1332962 0.3832604 0.3968402 0.1987230
## 5 0.1332962 0.3832604 0.3968402 0.1987230
## 9 0.1332962 0.3832604 0.3968402 0.1987230
## 13 0.1332962 0.3832604 0.3968402 0.1987230
## DEff.outcome5_0 DEff.outcome5_1 DEff.outcome5_2 DEff.outcome5_3 exposure
## 2 4.350391 3.350533 3.298165 3.677237 Low
## 3 2.526223 3.609190 3.464033 3.261736 Mid
## 4 3.215699 2.709150 2.601419 2.865203 High
## 6 4.350391 3.350533 3.298165 3.677237 Low
## 7 2.526223 3.609190 3.464033 3.261736 Mid
## 8 3.215699 2.709150 2.601419 2.865203 High
## 10 4.350391 3.350533 3.298165 3.677237 Low
## 11 2.526223 3.609190 3.464033 3.261736 Mid
## 12 3.215699 2.709150 2.601419 2.865203 High
## 14 4.350391 3.350533 3.298165 3.677237 Low
## 15 2.526223 3.609190 3.464033 3.261736 Mid
## 16 3.215699 2.709150 2.601419 2.865203 High
## 1 3.253020 3.744933 3.463994 3.055053 All
## 5 3.253020 3.744933 3.463994 3.055053 All
## 9 3.253020 3.744933 3.463994 3.055053 All
## 13 3.253020 3.744933 3.463994 3.055053 All
## n exposure_ time outcome5_ se CI_i CI_s
## 2 847 Educational level 1 11.75741 2.309054 7.231666 16.28316
## 3 1388 Educational level 1 11.19984 1.345601 8.562461 13.83722
## 4 609 Educational level 1 10.89343 2.265392 6.453264 15.33360
## 6 847 Educational level 2 34.66396 2.993970 28.795782 40.53214
## 7 1388 Educational level 2 35.92671 2.446921 31.130745 40.72267
## 8 609 Educational level 2 33.23297 3.143769 27.071187 39.39476
## 10 847 Educational level 3 34.08593 2.958611 28.287057 39.88481
## 11 1388 Educational level 3 36.79092 2.409455 32.068389 41.51345
## 12 609 Educational level 3 37.45426 3.165360 31.250154 43.65837
## 14 847 Educational level 4 19.49269 2.610895 14.375337 24.61004
## 15 1388 Educational level 4 16.08253 1.781130 12.591515 19.57354
## 16 609 Educational level 4 18.41933 2.660582 13.204593 23.63408
## 1 2844 <NA> 1 11.23631 1.068033 9.142970 13.32966
## 5 2844 <NA> 2 34.93536 1.729971 31.544621 38.32611
## 9 2844 <NA> 3 36.39316 1.679044 33.102230 39.68408
## 13 2844 <NA> 4 17.43517 1.243459 14.997985 19.87235CROSSTAB
## Area
## exposure Urban Rural
## Low 1050456 265180
## Mid 2760390 447355
## High 1614411 43799
##
## Pearson's X^2: Rao & Scott adjustment
##
## data: NextMethod()
## X-squared = 104.78, df = 2, p-value = 5.811e-15Linear regression: svyglm gaussian
svyglm(outcome~ Area+Edad, survey_design, deff=TRUE)
Linear regression: svyglm gaussian: VitD & urbana/rural area ajusted by edad
Primero describo y luego modelo
## Area outcome se ci_l ci_u DEff.outcome
## Urban Urban 19.25252 0.3264780 18.61264 19.89241 3.878011
## Rural Rural 23.98302 0.5634067 22.87876 25.08727 2.432424Linear regression: svyglm gaussian: VitD & urbana/rural area ajusted by edad
##
## Call:
## svyglm(formula = outcome ~ Area + Edad, design = survey_design,
## deff = TRUE)
##
## Survey design:
## subset(survey_design1, !is.na(m7p18))
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 20.29419 0.69221 29.318 < 2e-16 ***
## AreaRural 4.80812 0.64949 7.403 2.89e-13 ***
## Edad -0.02390 0.01278 -1.870 0.0618 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 64.28675)
##
## Number of Fisher Scoring iterations: 2Linear regression: svyglm gaussian: VitD & urbana/rural area ajusted by edad
Linear regression: svyglm gaussian: VitD & urbana/rural area ajusted by edad
## Estimate Std. Error t value Pr(>|t|) name
## (Intercept) 20.29418833 0.69220938 29.317991 9.811991e-136 (Intercept)
## AreaRural 4.80811537 0.64949001 7.402909 2.891624e-13 AreaRural
## Edad -0.02390261 0.01278213 -1.870002 6.178516e-02 Edad
## outcome
## (Intercept) Vit D numeric
## AreaRural Vit D numeric
## Edad Vit D numericLogistic regression: svyglm logit
## Stratified 1 - level Cluster Sampling design (with replacement)
## With (1000) clusters.
## subset(survey_design1, !is.na(m7p18))
## Sampling variables:
## - ids: Conglomerado_
## - strata: strata_
## - weights: fexp
##
## Call: svyglm(formula = outcome1 ~ Area + Edad, design = survey_design,
## family = quasibinomial(link = "logit"), deff = TRUE)
##
## Coefficients:
## (Intercept) AreaRural Edad
## 2.2734686 -0.9731278 -0.0009896
##
## Degrees of Freedom: 2843 Total (i.e. Null); 968 Residual
## Null Deviance: 1999
## Residual Deviance: 1959 AIC: NALogistic regression: svyglm logit
##
## Call:
## svyglm(formula = outcome1 ~ Area + Edad, design = survey_design,
## family = quasibinomial(link = "logit"), deff = TRUE)
##
## Survey design:
## subset(survey_design1, !is.na(m7p18))
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.2734686 0.2494605 9.114 < 2e-16 ***
## AreaRural -0.9731278 0.2010130 -4.841 1.5e-06 ***
## Edad -0.0009896 0.0042325 -0.234 0.815
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for quasibinomial family taken to be 1.000312)
##
## Number of Fisher Scoring iterations: 4Logistic regression: VitD<30 and urbana/rural area ajusted by age
Logistic regression: VitD<30 and urbana/rural area ajusted by age
## Area outcome1 se ci_l ci_u DEff.outcome1
## Urban Urban 0.9029255 0.01143708 0.8805093 0.9253418 3.499601
## Rural Rural 0.7779696 0.02665778 0.7257213 0.8302179 2.050165## outcome OR OR_i OR_s pvalue
## AreaRural VitD<30 0.38 0.25 0.56 0.0000
## Edad VitD<30 1.00 0.99 1.01 0.8152Logistic regression: VitD<30 and urbana/rural area ajusted by age
##
## Call:
## svyglm(formula = outcome1 ~ Area + Edad, design = survey_design,
## family = quasibinomial(link = "logit"), deff = TRUE)
##
## Survey design:
## subset(survey_design1, !is.na(m7p18))
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.2734686 0.2494605 9.114 < 2e-16 ***
## AreaRural -0.9731278 0.2010130 -4.841 1.5e-06 ***
## Edad -0.0009896 0.0042325 -0.234 0.815
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for quasibinomial family taken to be 1.000312)
##
## Number of Fisher Scoring iterations: 4Several linear regressions
## Estimate Std. Error t value outcome pvalue model
## 1 -0.020223229 0.01303985 -1.550879218 VitD 0.1213 Age
## 2 -0.023902611 0.01278213 -1.870002243 VitD 0.0618 Area + Age
## 3 4.808115371 0.64949001 7.402908932 VitD 0.0000 Area + Age
## 4 -0.030116569 0.01573933 -1.913459626 VitD 0.0560 Educational_level + Age
## 5 -0.934502990 0.81233894 -1.150385571 VitD 0.2503 Educational_level + Age
## 6 -0.812171939 1.04342975 -0.778367626 VitD 0.4365 Educational_level + Age
## 7 -0.019177305 0.01291716 -1.484637644 VitD 0.1380 Region_lbl + Age
## 8 1.480991574 1.24878658 1.185944498 VitD 0.2359 Region_lbl + Age
## 9 -1.949178680 1.15420110 -1.688768691 VitD 0.0916 Region_lbl + Age
## 10 -1.645190785 1.34082977 -1.226994526 VitD 0.2201 Region_lbl + Age
## 11 -2.818596889 1.09596884 -2.571785597 VitD 0.0103 Region_lbl + Age
## 12 -4.259802434 0.95189313 -4.475084754 VitD 0.0000 Region_lbl + Age
## 13 -4.123137389 0.94793393 -4.349604198 VitD 0.0000 Region_lbl + Age
## 14 -3.324940828 1.17035429 -2.840969488 VitD 0.0046 Region_lbl + Age
## 15 -2.140710910 1.05209389 -2.034714708 VitD 0.0422 Region_lbl + Age
## 16 -3.652481131 0.95438914 -3.827035507 VitD 0.0001 Region_lbl + Age
## 17 -4.419245172 1.13733159 -3.885625973 VitD 0.0001 Region_lbl + Age
## 18 -3.727065753 1.22901909 -3.032553191 VitD 0.0025 Region_lbl + Age
## 19 -4.791784243 1.68881010 -2.837373037 VitD 0.0046 Region_lbl + Age
## 20 -9.114907494 1.08178379 -8.425812571 VitD 0.0000 Region_lbl + Age
## 21 -10.229761913 1.13688264 -8.998080824 VitD 0.0000 Region_lbl + Age
## 22 -0.020442459 0.01303489 -1.568287787 VitD 0.1171 EN_lbl + Age
## 23 -0.006220172 2.68229304 -0.002318976 VitD 0.9982 EN_lbl + Age
## 24 -0.037618030 0.79969907 -0.047040233 VitD 0.9625 EN_lbl + Age
## 25 -0.216666800 0.76195417 -0.284356734 VitD 0.7762 EN_lbl + Age
## 26 -3.358804501 1.33758606 -2.511094121 VitD 0.0122 EN_lbl + Age
## 27 -0.019677262 0.01310136 -1.501925678 VitD 0.1334 Region num + Age
## 28 -0.299177474 0.08461477 -3.535759518 VitD 0.0004 Region num + Age
## type exposure exposure_lbl
## 1 VitD Edad Edad
## 2 VitD Edad Edad
## 3 VitD AreaRural AreaRural
## 4 VitD Edad Edad
## 5 VitD Educational_levelMid Educational_levelMid
## 6 VitD Educational_levelHigh Educational_levelHigh
## 7 VitD Edad Edad
## 8 VitD Region_lblTarapacá Region_lblTarapacá
## 9 VitD Region_lblAntofagasta Region_lblAntofagasta
## 10 VitD Region_lblAtacama Region_lblAtacama
## 11 VitD Region_lblCoquimbo Region_lblCoquimbo
## 12 VitD Region_lblValparaíso Region_lblValparaíso
## 13 VitD Region_lblMetropolitana Region_lblMetropolitana
## 14 VitD Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 15 VitD Region_lblMaule Region_lblMaule
## 16 VitD Region_lblBiobío Region_lblBiobío
## 17 VitD Region_lblAraucanía Region_lblAraucanía
## 18 VitD Region_lblLos Ríos Region_lblLos Ríos
## 19 VitD Region_lblLos Lagos Region_lblLos Lagos
## 20 VitD Region_lblAysén Region_lblAysén
## 21 VitD Region_lblMagallanes Region_lblMagallanes
## 22 VitD Edad Edad
## 23 VitD EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 24 VitD EN_lblOverW (_.) EN_lblOverW (_.)
## 25 VitD EN_lblObese (_.) EN_lblObese (_.)
## 26 VitD EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 27 VitD Edad Edad
## 28 VitD Codigoregion CodigoregionSeveral linear regressions
## Estimate Std. Error t value outcome pvalue model
## 1 -0.020223229 0.01303985 -1.550879218 VitD 0.1213 Age
## 2 -0.023902611 0.01278213 -1.870002243 VitD 0.0618 Area + Age
## 3 4.808115371 0.64949001 7.402908932 VitD 0.0000 Area + Age
## 4 -0.030116569 0.01573933 -1.913459626 VitD 0.0560 Educational_level + Age
## 5 -0.934502990 0.81233894 -1.150385571 VitD 0.2503 Educational_level + Age
## 6 -0.812171939 1.04342975 -0.778367626 VitD 0.4365 Educational_level + Age
## 7 -0.019177305 0.01291716 -1.484637644 VitD 0.1380 Region_lbl + Age
## 8 1.480991574 1.24878658 1.185944498 VitD 0.2359 Region_lbl + Age
## 9 -1.949178680 1.15420110 -1.688768691 VitD 0.0916 Region_lbl + Age
## 10 -1.645190785 1.34082977 -1.226994526 VitD 0.2201 Region_lbl + Age
## 11 -2.818596889 1.09596884 -2.571785597 VitD 0.0103 Region_lbl + Age
## 12 -4.259802434 0.95189313 -4.475084754 VitD 0.0000 Region_lbl + Age
## 13 -4.123137389 0.94793393 -4.349604198 VitD 0.0000 Region_lbl + Age
## 14 -3.324940828 1.17035429 -2.840969488 VitD 0.0046 Region_lbl + Age
## 15 -2.140710910 1.05209389 -2.034714708 VitD 0.0422 Region_lbl + Age
## 16 -3.652481131 0.95438914 -3.827035507 VitD 0.0001 Region_lbl + Age
## 17 -4.419245172 1.13733159 -3.885625973 VitD 0.0001 Region_lbl + Age
## 18 -3.727065753 1.22901909 -3.032553191 VitD 0.0025 Region_lbl + Age
## 19 -4.791784243 1.68881010 -2.837373037 VitD 0.0046 Region_lbl + Age
## 20 -9.114907494 1.08178379 -8.425812571 VitD 0.0000 Region_lbl + Age
## 21 -10.229761913 1.13688264 -8.998080824 VitD 0.0000 Region_lbl + Age
## 22 -0.020442459 0.01303489 -1.568287787 VitD 0.1171 EN_lbl + Age
## 23 -0.006220172 2.68229304 -0.002318976 VitD 0.9982 EN_lbl + Age
## 24 -0.037618030 0.79969907 -0.047040233 VitD 0.9625 EN_lbl + Age
## 25 -0.216666800 0.76195417 -0.284356734 VitD 0.7762 EN_lbl + Age
## 26 -3.358804501 1.33758606 -2.511094121 VitD 0.0122 EN_lbl + Age
## 27 -0.019677262 0.01310136 -1.501925678 VitD 0.1334 Region num + Age
## 28 -0.299177474 0.08461477 -3.535759518 VitD 0.0004 Region num + Age
## type exposure exposure_lbl
## 1 VitD Edad Edad
## 2 VitD Edad Edad
## 3 VitD AreaRural AreaRural
## 4 VitD Edad Edad
## 5 VitD Educational_levelMid Educational_levelMid
## 6 VitD Educational_levelHigh Educational_levelHigh
## 7 VitD Edad Edad
## 8 VitD Region_lblTarapacá Region_lblTarapacá
## 9 VitD Region_lblAntofagasta Region_lblAntofagasta
## 10 VitD Region_lblAtacama Region_lblAtacama
## 11 VitD Region_lblCoquimbo Region_lblCoquimbo
## 12 VitD Region_lblValparaíso Region_lblValparaíso
## 13 VitD Region_lblMetropolitana Region_lblMetropolitana
## 14 VitD Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 15 VitD Region_lblMaule Region_lblMaule
## 16 VitD Region_lblBiobío Region_lblBiobío
## 17 VitD Region_lblAraucanía Region_lblAraucanía
## 18 VitD Region_lblLos Ríos Region_lblLos Ríos
## 19 VitD Region_lblLos Lagos Region_lblLos Lagos
## 20 VitD Region_lblAysén Region_lblAysén
## 21 VitD Region_lblMagallanes Region_lblMagallanes
## 22 VitD Edad Edad
## 23 VitD EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 24 VitD EN_lblOverW (_.) EN_lblOverW (_.)
## 25 VitD EN_lblObese (_.) EN_lblObese (_.)
## 26 VitD EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 27 VitD Edad Edad
## 28 VitD Codigoregion CodigoregionSeveral logistic regressions
## outcome OR OR_i OR_s pvalue model type CI_i CI_s
## 1 VitD<30 1.00 0.99 1.01 0.6476 Age VitD<30 0.99 1.01
## 2 VitD<20 1.01 1.00 1.01 0.0999 Age VitD<20 1.00 1.01
## 3 VitD<12 1.01 1.00 1.01 0.1972 Age VitD<12 1.00 1.01
## 4 VitD<30 0.38 0.25 0.56 0.0000 Area + Age VitD<30 0.25 0.56
## 5 VitD<30 1.00 0.99 1.01 0.8152 Area + Age VitD<30 0.99 1.01
## 6 VitD<20 0.31 0.21 0.45 0.0000 Area + Age VitD<20 0.21 0.45
## 7 VitD<20 1.01 1.00 1.01 0.0517 Area + Age VitD<20 1.00 1.01
## 8 VitD<12 0.32 0.18 0.59 0.0002 Area + Age VitD<12 0.18 0.59
## 9 VitD<12 1.01 1.00 1.02 0.1506 Area + Age VitD<12 1.00 1.02
## 10 VitD<30 1.00 0.99 1.01 0.7435 Educational_level + Age VitD<30 0.99 1.01
## 11 VitD<30 1.00 0.53 1.88 0.9967 Educational_level + Age VitD<30 0.53 1.88
## 12 VitD<30 1.03 0.48 2.21 0.9349 Educational_level + Age VitD<30 0.48 2.21
## 13 VitD<20 1.01 1.00 1.02 0.0509 Educational_level + Age VitD<20 1.00 1.02
## 14 VitD<20 1.24 0.84 1.82 0.2837 Educational_level + Age VitD<20 0.84 1.82
## 15 VitD<20 1.40 0.86 2.28 0.1771 Educational_level + Age VitD<20 0.86 2.28
## 16 VitD<12 1.01 1.00 1.02 0.2406 Educational_level + Age VitD<12 1.00 1.02
## 17 VitD<12 0.94 0.63 1.41 0.7772 Educational_level + Age VitD<12 0.63 1.41
## 18 VitD<12 1.12 0.65 1.93 0.6958 Educational_level + Age VitD<12 0.65 1.93
## 19 VitD<30 1.00 0.99 1.01 0.5868 Region_lbl + Age VitD<30 0.99 1.01
## 20 VitD<30 0.52 0.26 1.05 0.0671 Region_lbl + Age VitD<30 0.26 1.05
## 21 VitD<30 1.20 0.48 3.00 0.6898 Region_lbl + Age VitD<30 0.48 3.00
## 22 VitD<30 1.00 0.41 2.45 0.9983 Region_lbl + Age VitD<30 0.41 2.45
## 23 VitD<30 1.12 0.45 2.79 0.8024 Region_lbl + Age VitD<30 0.45 2.79
## 24 VitD<30 1.52 0.78 2.96 0.2233 Region_lbl + Age VitD<30 0.78 2.96
## 25 VitD<30 1.31 0.68 2.54 0.4176 Region_lbl + Age VitD<30 0.68 2.54
## 26 VitD<30 3.65 1.58 8.41 0.0024 Region_lbl + Age VitD<30 1.58 8.41
## 27 VitD<30 1.17 0.46 2.99 0.7363 Region_lbl + Age VitD<30 0.46 2.99
## 28 VitD<30 1.21 0.65 2.26 0.5425 Region_lbl + Age VitD<30 0.65 2.26
## 29 VitD<30 1.03 0.47 2.23 0.9494 Region_lbl + Age VitD<30 0.47 2.23
## 30 VitD<30 1.06 0.42 2.68 0.9069 Region_lbl + Age VitD<30 0.42 2.68
## 31 VitD<30 0.98 0.33 2.92 0.9661 Region_lbl + Age VitD<30 0.33 2.92
## 32 VitD<30 4.59 1.75 12.01 0.0020 Region_lbl + Age VitD<30 1.75 12.01
## 33 VitD<30 4.19 1.34 13.05 0.0137 Region_lbl + Age VitD<30 1.34 13.05
## 34 VitD<20 1.01 1.00 1.01 0.1058 Region_lbl + Age VitD<20 1.00 1.01
## 35 VitD<20 1.31 0.69 2.47 0.4094 Region_lbl + Age VitD<20 0.69 2.47
## 36 VitD<20 1.98 1.09 3.58 0.0241 Region_lbl + Age VitD<20 1.09 3.58
## 37 VitD<20 2.25 1.27 3.99 0.0058 Region_lbl + Age VitD<20 1.27 3.99
## 38 VitD<20 1.87 0.98 3.54 0.0560 Region_lbl + Age VitD<20 0.98 3.54
## 39 VitD<20 3.23 1.90 5.49 0.0000 Region_lbl + Age VitD<20 1.90 5.49
## 40 VitD<20 3.81 2.29 6.35 0.0000 Region_lbl + Age VitD<20 2.29 6.35
## 41 VitD<20 2.29 1.01 5.18 0.0470 Region_lbl + Age VitD<20 1.01 5.18
## 42 VitD<20 2.38 1.34 4.23 0.0033 Region_lbl + Age VitD<20 1.34 4.23
## 43 VitD<20 3.39 2.02 5.68 0.0000 Region_lbl + Age VitD<20 2.02 5.68
## 44 VitD<20 3.11 1.71 5.64 0.0002 Region_lbl + Age VitD<20 1.71 5.64
## 45 VitD<20 3.58 1.83 7.01 0.0002 Region_lbl + Age VitD<20 1.83 7.01
## 46 VitD<20 4.43 2.28 8.63 0.0000 Region_lbl + Age VitD<20 2.28 8.63
## 47 VitD<20 14.76 6.53 33.35 0.0000 Region_lbl + Age VitD<20 6.53 33.35
## 48 VitD<20 12.25 5.55 27.03 0.0000 Region_lbl + Age VitD<20 5.55 27.03
## 49 VitD<12 1.01 1.00 1.01 0.2135 Region_lbl + Age VitD<12 1.00 1.01
## 50 VitD<12 0.51 0.16 1.65 0.2603 Region_lbl + Age VitD<12 0.16 1.65
## 51 VitD<12 0.95 0.32 2.81 0.9328 Region_lbl + Age VitD<12 0.32 2.81
## 52 VitD<12 1.05 0.35 3.13 0.9288 Region_lbl + Age VitD<12 0.35 3.13
## 53 VitD<12 1.36 0.53 3.47 0.5187 Region_lbl + Age VitD<12 0.53 3.47
## 54 VitD<12 2.34 0.98 5.59 0.0561 Region_lbl + Age VitD<12 0.98 5.59
## 55 VitD<12 2.20 1.01 4.82 0.0488 Region_lbl + Age VitD<12 1.01 4.82
## 56 VitD<12 2.27 0.88 5.89 0.0915 Region_lbl + Age VitD<12 0.88 5.89
## 57 VitD<12 1.08 0.40 2.91 0.8802 Region_lbl + Age VitD<12 0.40 2.91
## 58 VitD<12 2.35 1.06 5.23 0.0366 Region_lbl + Age VitD<12 1.06 5.23
## 59 VitD<12 3.99 1.75 9.10 0.0010 Region_lbl + Age VitD<12 1.75 9.10
## 60 VitD<12 2.74 1.13 6.67 0.0261 Region_lbl + Age VitD<12 1.13 6.67
## 61 VitD<12 3.40 1.35 8.59 0.0098 Region_lbl + Age VitD<12 1.35 8.59
## 62 VitD<12 8.72 3.69 20.63 0.0000 Region_lbl + Age VitD<12 3.69 20.63
## 63 VitD<12 12.89 5.52 30.12 0.0000 Region_lbl + Age VitD<12 5.52 30.12
## 64 VitD<30 1.00 0.99 1.01 0.6442 Region num + Age VitD<30 0.99 1.01
## 65 VitD<30 1.01 0.95 1.08 0.7195 Region num + Age VitD<30 0.95 1.08
## 66 VitD<20 1.01 1.00 1.01 0.1093 Region num + Age VitD<20 1.00 1.01
## 67 VitD<20 1.07 1.04 1.11 0.0001 Region num + Age VitD<20 1.04 1.11
## 68 VitD<12 1.01 1.00 1.01 0.2131 Region num + Age VitD<12 1.00 1.01
## 69 VitD<12 1.12 1.07 1.18 0.0000 Region num + Age VitD<12 1.07 1.18
## 70 VitD<30 1.00 0.99 1.01 0.5005 EN_lbl + Age VitD<30 0.99 1.01
## 71 VitD<30 0.52 0.10 2.68 0.4315 EN_lbl + Age VitD<30 0.10 2.68
## 72 VitD<30 1.19 0.68 2.10 0.5379 EN_lbl + Age VitD<30 0.68 2.10
## 73 VitD<30 1.28 0.77 2.14 0.3437 EN_lbl + Age VitD<30 0.77 2.14
## 74 VitD<30 2.61 0.82 8.27 0.1041 EN_lbl + Age VitD<30 0.82 8.27
## 75 VitD<20 1.00 1.00 1.01 0.1610 EN_lbl + Age VitD<20 1.00 1.01
## 76 VitD<20 1.09 0.27 4.37 0.9015 EN_lbl + Age VitD<20 0.27 4.37
## 77 VitD<20 1.12 0.78 1.61 0.5295 EN_lbl + Age VitD<20 0.78 1.61
## 78 VitD<20 1.27 0.89 1.81 0.1937 EN_lbl + Age VitD<20 0.89 1.81
## 79 VitD<20 1.49 0.65 3.41 0.3414 EN_lbl + Age VitD<20 0.65 3.41
## 80 VitD<12 1.01 1.00 1.02 0.0953 EN_lbl + Age VitD<12 1.00 1.02
## 81 VitD<12 0.48 0.14 1.62 0.2383 EN_lbl + Age VitD<12 0.14 1.62
## 82 VitD<12 0.82 0.51 1.32 0.4134 EN_lbl + Age VitD<12 0.51 1.32
## 83 VitD<12 0.75 0.47 1.20 0.2279 EN_lbl + Age VitD<12 0.47 1.20
## 84 VitD<12 2.71 1.07 6.87 0.0365 EN_lbl + Age VitD<12 1.07 6.87
## exposure exposure_lbl
## 1 Edad Edad
## 2 Edad Edad
## 3 Edad Edad
## 4 AreaRural AreaRural
## 5 Edad Edad
## 6 AreaRural AreaRural
## 7 Edad Edad
## 8 AreaRural AreaRural
## 9 Edad Edad
## 10 Edad Edad
## 11 Educational_levelMid Educational_levelMid
## 12 Educational_levelHigh Educational_levelHigh
## 13 Edad Edad
## 14 Educational_levelMid Educational_levelMid
## 15 Educational_levelHigh Educational_levelHigh
## 16 Edad Edad
## 17 Educational_levelMid Educational_levelMid
## 18 Educational_levelHigh Educational_levelHigh
## 19 Edad Edad
## 20 Region_lblTarapacá Region_lblTarapacá
## 21 Region_lblAntofagasta Region_lblAntofagasta
## 22 Region_lblAtacama Region_lblAtacama
## 23 Region_lblCoquimbo Region_lblCoquimbo
## 24 Region_lblValparaíso Region_lblValparaíso
## 25 Region_lblMetropolitana Region_lblMetropolitana
## 26 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 27 Region_lblMaule Region_lblMaule
## 28 Region_lblBiobío Region_lblBiobío
## 29 Region_lblAraucanía Region_lblAraucanía
## 30 Region_lblLos Ríos Region_lblLos Ríos
## 31 Region_lblLos Lagos Region_lblLos Lagos
## 32 Region_lblAysén Region_lblAysén
## 33 Region_lblMagallanes Region_lblMagallanes
## 34 Edad Edad
## 35 Region_lblTarapacá Region_lblTarapacá
## 36 Region_lblAntofagasta Region_lblAntofagasta
## 37 Region_lblAtacama Region_lblAtacama
## 38 Region_lblCoquimbo Region_lblCoquimbo
## 39 Region_lblValparaíso Region_lblValparaíso
## 40 Region_lblMetropolitana Region_lblMetropolitana
## 41 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 42 Region_lblMaule Region_lblMaule
## 43 Region_lblBiobío Region_lblBiobío
## 44 Region_lblAraucanía Region_lblAraucanía
## 45 Region_lblLos Ríos Region_lblLos Ríos
## 46 Region_lblLos Lagos Region_lblLos Lagos
## 47 Region_lblAysén Region_lblAysén
## 48 Region_lblMagallanes Region_lblMagallanes
## 49 Edad Edad
## 50 Region_lblTarapacá Region_lblTarapacá
## 51 Region_lblAntofagasta Region_lblAntofagasta
## 52 Region_lblAtacama Region_lblAtacama
## 53 Region_lblCoquimbo Region_lblCoquimbo
## 54 Region_lblValparaíso Region_lblValparaíso
## 55 Region_lblMetropolitana Region_lblMetropolitana
## 56 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 57 Region_lblMaule Region_lblMaule
## 58 Region_lblBiobío Region_lblBiobío
## 59 Region_lblAraucanía Region_lblAraucanía
## 60 Region_lblLos Ríos Region_lblLos Ríos
## 61 Region_lblLos Lagos Region_lblLos Lagos
## 62 Region_lblAysén Region_lblAysén
## 63 Region_lblMagallanes Region_lblMagallanes
## 64 Edad Edad
## 65 Codigoregion Codigoregion
## 66 Edad Edad
## 67 Codigoregion Codigoregion
## 68 Edad Edad
## 69 Codigoregion Codigoregion
## 70 Edad Edad
## 71 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 72 EN_lblOverW (_.) EN_lblOverW (_.)
## 73 EN_lblObese (_.) EN_lblObese (_.)
## 74 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 75 Edad Edad
## 76 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 77 EN_lblOverW (_.) EN_lblOverW (_.)
## 78 EN_lblObese (_.) EN_lblObese (_.)
## 79 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 80 Edad Edad
## 81 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 82 EN_lblOverW (_.) EN_lblOverW (_.)
## 83 EN_lblObese (_.) EN_lblObese (_.)
## 84 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)Several logistic regressions
## outcome OR OR_i OR_s pvalue model type CI_i CI_s
## 1 VitD<30 1.00 0.99 1.01 0.6476 Age VitD<30 0.99 1.01
## 2 VitD<20 1.01 1.00 1.01 0.0999 Age VitD<20 1.00 1.01
## 3 VitD<12 1.01 1.00 1.01 0.1972 Age VitD<12 1.00 1.01
## 4 VitD<30 0.38 0.25 0.56 0.0000 Area + Age VitD<30 0.25 0.56
## 5 VitD<30 1.00 0.99 1.01 0.8152 Area + Age VitD<30 0.99 1.01
## 6 VitD<20 0.31 0.21 0.45 0.0000 Area + Age VitD<20 0.21 0.45
## 7 VitD<20 1.01 1.00 1.01 0.0517 Area + Age VitD<20 1.00 1.01
## 8 VitD<12 0.32 0.18 0.59 0.0002 Area + Age VitD<12 0.18 0.59
## 9 VitD<12 1.01 1.00 1.02 0.1506 Area + Age VitD<12 1.00 1.02
## 10 VitD<30 1.00 0.99 1.01 0.7435 Educational_level + Age VitD<30 0.99 1.01
## 11 VitD<30 1.00 0.53 1.88 0.9967 Educational_level + Age VitD<30 0.53 1.88
## 12 VitD<30 1.03 0.48 2.21 0.9349 Educational_level + Age VitD<30 0.48 2.21
## 13 VitD<20 1.01 1.00 1.02 0.0509 Educational_level + Age VitD<20 1.00 1.02
## 14 VitD<20 1.24 0.84 1.82 0.2837 Educational_level + Age VitD<20 0.84 1.82
## 15 VitD<20 1.40 0.86 2.28 0.1771 Educational_level + Age VitD<20 0.86 2.28
## 16 VitD<12 1.01 1.00 1.02 0.2406 Educational_level + Age VitD<12 1.00 1.02
## 17 VitD<12 0.94 0.63 1.41 0.7772 Educational_level + Age VitD<12 0.63 1.41
## 18 VitD<12 1.12 0.65 1.93 0.6958 Educational_level + Age VitD<12 0.65 1.93
## 19 VitD<30 1.00 0.99 1.01 0.5868 Region_lbl + Age VitD<30 0.99 1.01
## 20 VitD<30 0.52 0.26 1.05 0.0671 Region_lbl + Age VitD<30 0.26 1.05
## 21 VitD<30 1.20 0.48 3.00 0.6898 Region_lbl + Age VitD<30 0.48 3.00
## 22 VitD<30 1.00 0.41 2.45 0.9983 Region_lbl + Age VitD<30 0.41 2.45
## 23 VitD<30 1.12 0.45 2.79 0.8024 Region_lbl + Age VitD<30 0.45 2.79
## 24 VitD<30 1.52 0.78 2.96 0.2233 Region_lbl + Age VitD<30 0.78 2.96
## 25 VitD<30 1.31 0.68 2.54 0.4176 Region_lbl + Age VitD<30 0.68 2.54
## 26 VitD<30 3.65 1.58 8.41 0.0024 Region_lbl + Age VitD<30 1.58 8.41
## 27 VitD<30 1.17 0.46 2.99 0.7363 Region_lbl + Age VitD<30 0.46 2.99
## 28 VitD<30 1.21 0.65 2.26 0.5425 Region_lbl + Age VitD<30 0.65 2.26
## 29 VitD<30 1.03 0.47 2.23 0.9494 Region_lbl + Age VitD<30 0.47 2.23
## 30 VitD<30 1.06 0.42 2.68 0.9069 Region_lbl + Age VitD<30 0.42 2.68
## 31 VitD<30 0.98 0.33 2.92 0.9661 Region_lbl + Age VitD<30 0.33 2.92
## 32 VitD<30 4.59 1.75 12.01 0.0020 Region_lbl + Age VitD<30 1.75 12.01
## 33 VitD<30 4.19 1.34 13.05 0.0137 Region_lbl + Age VitD<30 1.34 13.05
## 34 VitD<20 1.01 1.00 1.01 0.1058 Region_lbl + Age VitD<20 1.00 1.01
## 35 VitD<20 1.31 0.69 2.47 0.4094 Region_lbl + Age VitD<20 0.69 2.47
## 36 VitD<20 1.98 1.09 3.58 0.0241 Region_lbl + Age VitD<20 1.09 3.58
## 37 VitD<20 2.25 1.27 3.99 0.0058 Region_lbl + Age VitD<20 1.27 3.99
## 38 VitD<20 1.87 0.98 3.54 0.0560 Region_lbl + Age VitD<20 0.98 3.54
## 39 VitD<20 3.23 1.90 5.49 0.0000 Region_lbl + Age VitD<20 1.90 5.49
## 40 VitD<20 3.81 2.29 6.35 0.0000 Region_lbl + Age VitD<20 2.29 6.35
## 41 VitD<20 2.29 1.01 5.18 0.0470 Region_lbl + Age VitD<20 1.01 5.18
## 42 VitD<20 2.38 1.34 4.23 0.0033 Region_lbl + Age VitD<20 1.34 4.23
## 43 VitD<20 3.39 2.02 5.68 0.0000 Region_lbl + Age VitD<20 2.02 5.68
## 44 VitD<20 3.11 1.71 5.64 0.0002 Region_lbl + Age VitD<20 1.71 5.64
## 45 VitD<20 3.58 1.83 7.01 0.0002 Region_lbl + Age VitD<20 1.83 7.01
## 46 VitD<20 4.43 2.28 8.63 0.0000 Region_lbl + Age VitD<20 2.28 8.63
## 47 VitD<20 14.76 6.53 33.35 0.0000 Region_lbl + Age VitD<20 6.53 33.35
## 48 VitD<20 12.25 5.55 27.03 0.0000 Region_lbl + Age VitD<20 5.55 27.03
## 49 VitD<12 1.01 1.00 1.01 0.2135 Region_lbl + Age VitD<12 1.00 1.01
## 50 VitD<12 0.51 0.16 1.65 0.2603 Region_lbl + Age VitD<12 0.16 1.65
## 51 VitD<12 0.95 0.32 2.81 0.9328 Region_lbl + Age VitD<12 0.32 2.81
## 52 VitD<12 1.05 0.35 3.13 0.9288 Region_lbl + Age VitD<12 0.35 3.13
## 53 VitD<12 1.36 0.53 3.47 0.5187 Region_lbl + Age VitD<12 0.53 3.47
## 54 VitD<12 2.34 0.98 5.59 0.0561 Region_lbl + Age VitD<12 0.98 5.59
## 55 VitD<12 2.20 1.01 4.82 0.0488 Region_lbl + Age VitD<12 1.01 4.82
## 56 VitD<12 2.27 0.88 5.89 0.0915 Region_lbl + Age VitD<12 0.88 5.89
## 57 VitD<12 1.08 0.40 2.91 0.8802 Region_lbl + Age VitD<12 0.40 2.91
## 58 VitD<12 2.35 1.06 5.23 0.0366 Region_lbl + Age VitD<12 1.06 5.23
## 59 VitD<12 3.99 1.75 9.10 0.0010 Region_lbl + Age VitD<12 1.75 9.10
## 60 VitD<12 2.74 1.13 6.67 0.0261 Region_lbl + Age VitD<12 1.13 6.67
## 61 VitD<12 3.40 1.35 8.59 0.0098 Region_lbl + Age VitD<12 1.35 8.59
## 62 VitD<12 8.72 3.69 20.63 0.0000 Region_lbl + Age VitD<12 3.69 20.63
## 63 VitD<12 12.89 5.52 30.12 0.0000 Region_lbl + Age VitD<12 5.52 30.12
## 64 VitD<30 1.00 0.99 1.01 0.6442 Region num + Age VitD<30 0.99 1.01
## 65 VitD<30 1.01 0.95 1.08 0.7195 Region num + Age VitD<30 0.95 1.08
## 66 VitD<20 1.01 1.00 1.01 0.1093 Region num + Age VitD<20 1.00 1.01
## 67 VitD<20 1.07 1.04 1.11 0.0001 Region num + Age VitD<20 1.04 1.11
## 68 VitD<12 1.01 1.00 1.01 0.2131 Region num + Age VitD<12 1.00 1.01
## 69 VitD<12 1.12 1.07 1.18 0.0000 Region num + Age VitD<12 1.07 1.18
## 70 VitD<30 1.00 0.99 1.01 0.5005 EN_lbl + Age VitD<30 0.99 1.01
## 71 VitD<30 0.52 0.10 2.68 0.4315 EN_lbl + Age VitD<30 0.10 2.68
## 72 VitD<30 1.19 0.68 2.10 0.5379 EN_lbl + Age VitD<30 0.68 2.10
## 73 VitD<30 1.28 0.77 2.14 0.3437 EN_lbl + Age VitD<30 0.77 2.14
## 74 VitD<30 2.61 0.82 8.27 0.1041 EN_lbl + Age VitD<30 0.82 8.27
## 75 VitD<20 1.00 1.00 1.01 0.1610 EN_lbl + Age VitD<20 1.00 1.01
## 76 VitD<20 1.09 0.27 4.37 0.9015 EN_lbl + Age VitD<20 0.27 4.37
## 77 VitD<20 1.12 0.78 1.61 0.5295 EN_lbl + Age VitD<20 0.78 1.61
## 78 VitD<20 1.27 0.89 1.81 0.1937 EN_lbl + Age VitD<20 0.89 1.81
## 79 VitD<20 1.49 0.65 3.41 0.3414 EN_lbl + Age VitD<20 0.65 3.41
## 80 VitD<12 1.01 1.00 1.02 0.0953 EN_lbl + Age VitD<12 1.00 1.02
## 81 VitD<12 0.48 0.14 1.62 0.2383 EN_lbl + Age VitD<12 0.14 1.62
## 82 VitD<12 0.82 0.51 1.32 0.4134 EN_lbl + Age VitD<12 0.51 1.32
## 83 VitD<12 0.75 0.47 1.20 0.2279 EN_lbl + Age VitD<12 0.47 1.20
## 84 VitD<12 2.71 1.07 6.87 0.0365 EN_lbl + Age VitD<12 1.07 6.87
## exposure exposure_lbl
## 1 Edad Edad
## 2 Edad Edad
## 3 Edad Edad
## 4 AreaRural AreaRural
## 5 Edad Edad
## 6 AreaRural AreaRural
## 7 Edad Edad
## 8 AreaRural AreaRural
## 9 Edad Edad
## 10 Edad Edad
## 11 Educational_levelMid Educational_levelMid
## 12 Educational_levelHigh Educational_levelHigh
## 13 Edad Edad
## 14 Educational_levelMid Educational_levelMid
## 15 Educational_levelHigh Educational_levelHigh
## 16 Edad Edad
## 17 Educational_levelMid Educational_levelMid
## 18 Educational_levelHigh Educational_levelHigh
## 19 Edad Edad
## 20 Region_lblTarapacá Region_lblTarapacá
## 21 Region_lblAntofagasta Region_lblAntofagasta
## 22 Region_lblAtacama Region_lblAtacama
## 23 Region_lblCoquimbo Region_lblCoquimbo
## 24 Region_lblValparaíso Region_lblValparaíso
## 25 Region_lblMetropolitana Region_lblMetropolitana
## 26 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 27 Region_lblMaule Region_lblMaule
## 28 Region_lblBiobío Region_lblBiobío
## 29 Region_lblAraucanía Region_lblAraucanía
## 30 Region_lblLos Ríos Region_lblLos Ríos
## 31 Region_lblLos Lagos Region_lblLos Lagos
## 32 Region_lblAysén Region_lblAysén
## 33 Region_lblMagallanes Region_lblMagallanes
## 34 Edad Edad
## 35 Region_lblTarapacá Region_lblTarapacá
## 36 Region_lblAntofagasta Region_lblAntofagasta
## 37 Region_lblAtacama Region_lblAtacama
## 38 Region_lblCoquimbo Region_lblCoquimbo
## 39 Region_lblValparaíso Region_lblValparaíso
## 40 Region_lblMetropolitana Region_lblMetropolitana
## 41 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 42 Region_lblMaule Region_lblMaule
## 43 Region_lblBiobío Region_lblBiobío
## 44 Region_lblAraucanía Region_lblAraucanía
## 45 Region_lblLos Ríos Region_lblLos Ríos
## 46 Region_lblLos Lagos Region_lblLos Lagos
## 47 Region_lblAysén Region_lblAysén
## 48 Region_lblMagallanes Region_lblMagallanes
## 49 Edad Edad
## 50 Region_lblTarapacá Region_lblTarapacá
## 51 Region_lblAntofagasta Region_lblAntofagasta
## 52 Region_lblAtacama Region_lblAtacama
## 53 Region_lblCoquimbo Region_lblCoquimbo
## 54 Region_lblValparaíso Region_lblValparaíso
## 55 Region_lblMetropolitana Region_lblMetropolitana
## 56 Region_lblL. B. O'Higgins Region_lblL. B. O'Higgins
## 57 Region_lblMaule Region_lblMaule
## 58 Region_lblBiobío Region_lblBiobío
## 59 Region_lblAraucanía Region_lblAraucanía
## 60 Region_lblLos Ríos Region_lblLos Ríos
## 61 Region_lblLos Lagos Region_lblLos Lagos
## 62 Region_lblAysén Region_lblAysén
## 63 Region_lblMagallanes Region_lblMagallanes
## 64 Edad Edad
## 65 Codigoregion Codigoregion
## 66 Edad Edad
## 67 Codigoregion Codigoregion
## 68 Edad Edad
## 69 Codigoregion Codigoregion
## 70 Edad Edad
## 71 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 72 EN_lblOverW (_.) EN_lblOverW (_.)
## 73 EN_lblObese (_.) EN_lblObese (_.)
## 74 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 75 Edad Edad
## 76 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 77 EN_lblOverW (_.) EN_lblOverW (_.)
## 78 EN_lblObese (_.) EN_lblObese (_.)
## 79 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)
## 80 Edad Edad
## 81 EN_lblUnderweight (<.) EN_lblUnderweight (<.)
## 82 EN_lblOverW (_.) EN_lblOverW (_.)
## 83 EN_lblObese (_.) EN_lblObese (_.)
## 84 EN_lblMorbid_obese(+) EN_lblMorbid_obese(+)## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.79 0.52 1.20 0.2703 Region num + Age
## Educational_levelHigh VitD<12 0.93 0.57 1.53 0.7811 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.94 0.63 1.41 0.7772 Region num + Age
## Educational_levelHigh VitD<12 1.12 0.65 1.93 0.6958 Region num + Age
## Edad VitD<12 1.01 1.00 1.02 0.2406 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.92 0.61 1.38 0.6777 Region num + Age
## Educational_levelHigh VitD<12 1.08 0.61 1.93 0.7848 Region num + Age
## Edad VitD<12 1.01 1.00 1.02 0.1487 Region num + Age
## EN_lblUnderweight (<18.5) VitD<12 0.50 0.15 1.69 0.2622 Region num + Age
## EN_lblOverW (25_29.9) VitD<12 0.82 0.51 1.32 0.4217 Region num + Age
## EN_lblObese (30_39.9) VitD<12 0.76 0.47 1.22 0.2510 Region num + Age
## EN_lblMorbid_obese(40+) VitD<12 2.76 1.07 7.12 0.0363 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.93 0.63 1.40 0.7404 Region num + Age
## Educational_levelHigh VitD<12 1.10 0.63 1.93 0.7294 Region num + Age
## Edad VitD<12 1.01 1.00 1.02 0.2206 Region num + Age
## factor(ta3)2 VitD<12 0.62 0.27 1.46 0.2788 Region num + Age
## factor(ta3)3 VitD<12 0.68 0.38 1.21 0.1866 Region num + Age
## factor(ta3)4 VitD<12 0.88 0.52 1.49 0.6398 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.84 0.47 1.47 0.5350 Region num + Age
## Educational_levelHigh VitD<12 0.87 0.43 1.77 0.7005 Region num + Age
## Edad VitD<12 1.00 0.98 1.01 0.4659 Region num + Age
## factor(m7p4)0.5 VitD<12 0.74 0.16 3.44 0.7010 Region num + Age
## factor(m7p4)1 VitD<12 0.35 0.08 1.54 0.1651 Region num + Age
## factor(m7p4)1.5 VitD<12 0.03 0.00 0.23 0.0007 Region num + Age
## factor(m7p4)2 VitD<12 0.24 0.05 1.08 0.0639 Region num + Age
## factor(m7p4)2.5 VitD<12 0.03 0.00 0.36 0.0051 Region num + Age
## factor(m7p4)3 VitD<12 0.35 0.07 1.69 0.1909 Region num + Age
## factor(m7p4)3.5 VitD<12 0.32 0.02 6.57 0.4606 Region num + Age
## factor(m7p4)4 VitD<12 0.43 0.08 2.43 0.3432 Region num + Age
## factor(m7p4)4.5 VitD<12 0.00 0.00 0.00 0.0000 Region num + Age
## factor(m7p4)5 VitD<12 0.17 0.03 1.16 0.0708 Region num + Age
## factor(m7p4)6 VitD<12 0.59 0.08 4.52 0.6139 Region num + Age
## factor(m7p4)7 VitD<12 0.01 0.00 0.08 0.0001 Region num + Age
## factor(m7p4)8 VitD<12 0.04 0.00 0.62 0.0214 Region num + Age
## factor(m7p4)9 VitD<12 0.00 0.00 0.00 0.0000 Region num + Age
## factor(m7p4)10 VitD<12 0.08 0.01 0.80 0.0320 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.85 0.48 1.50 0.5788 Region num + Age
## Educational_levelHigh VitD<12 0.86 0.42 1.77 0.6784 Region num + Age
## Edad VitD<12 1.00 0.98 1.01 0.7063 Region num + Age
## m7p4_valida VitD<12 0.87 0.74 1.03 0.0994 Region num + Age## outcome OR OR_i OR_s pvalue model
## Educational_levelMid VitD<12 0.86 0.50 1.49 0.5884 Region num + Age
## Educational_levelHigh VitD<12 0.92 0.45 1.91 0.8296 Region num + Age
## Edad VitD<12 1.00 0.99 1.01 0.8986 Region num + Age
## m7p10b VitD<12 1.01 0.92 1.10 0.8728 Region num + Age##
## Call:
## svyglm(formula = outcome3 ~ Educational_level, design = survey_design,
## family = quasibinomial(link = "logit"), deff = TRUE)
##
## Survey design:
## subset(survey_design1, !is.na(m7p18))
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.41831 0.16637 -8.525 <2e-16 ***
## Educational_levelMid -0.23379 0.21197 -1.103 0.270
## Educational_levelHigh -0.06988 0.25140 -0.278 0.781
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for quasibinomial family taken to be 1.000352)
##
## Number of Fisher Scoring iterations: 4##
## Call:
## svyglm(formula = outcome3 ~ Educational_level + Edad, design = survey_design,
## family = quasibinomial(link = "logit"), deff = TRUE)
##
## Survey design:
## subset(survey_design1, !is.na(m7p18))
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.820017 0.364845 -4.988 7.21e-07 ***
## Educational_levelMid -0.057987 0.204895 -0.283 0.777
## Educational_levelHigh 0.109033 0.278809 0.391 0.696
## Edad 0.005890 0.005016 1.174 0.241
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for quasibinomial family taken to be 1.00143)
##
## Number of Fisher Scoring iterations: 4## Stratified 1 - level Cluster Sampling design (with replacement)
## With (999) clusters.
## subset(survey_design1, !is.na(m7p18))
## Sampling variables:
## - ids: Conglomerado_
## - strata: strata_
## - weights: fexp
##
## Call: svyglm(formula = outcome3 ~ Educational_level + Edad + EN_lbl,
## design = survey_design, family = quasibinomial(link = "logit"),
## deff = TRUE)
##
## Coefficients:
## (Intercept) Educational_levelMid
## -1.753960 -0.087363
## Educational_levelHigh Edad
## 0.080271 0.007413
## EN_lblUnderweight (<18.5) EN_lblOverW (25_29.9)
## -0.699443 -0.194906
## EN_lblObese (30_39.9) EN_lblMorbid_obese(40+)
## -0.279107 1.014559
##
## Degrees of Freedom: 2834 Total (i.e. Null); 962 Residual
## (9 observations deleted due to missingness)
## Null Deviance: 2627
## Residual Deviance: 2584 AIC: NA