7. Survival analyses
Any time of follow-up
m1
9 years of follow-up
m2
\pagebreak
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Abscounty
Introduction
Systematic review
Aims
Aim 1 methods, results and discussion
Aim 2 methods, results and discussion
Aim 3 methods, results and discussion
General discussion
#
# # LIBRARY #####
# # typeof(ENS_svyset_f2$outcome)
#
# # load("~/MEGAsync/pHd MEGA/Base fusionada ENS/R/ENS.RData")
# getwd()
# sessionInfo()
# library(backports)
# library(haven) #Import and Export 'SPSS', 'Stata' and 'SAS' Files #
# library(devtools)
# library(survey)
# library(jskm)
# library(srvyr)
# library(Rcpp) #The Rcpp package provides C++ classes that greatly facilitate interfacing C or C++ code in R packages using the .Call interface provided by R.#
# library(dplyr) #dplyr: a grammar of data manipulation#
# library(ggplot2)
# library(ggthemes)
# library(labelled)
# library(ggimage)
# library(tictoc)
#
# rm(list=ls())
#
#
# write.excel<-function(x,row.names=FALSE,col.names=TRUE,...) {
# write.table(x,"clipboard",sep="\t",row.names=row.names,col.names=col.names,...)
# }
#
# read.excel<-function(header=TRUE,...) {
# read.table("clipboard",sep="\t",header=header,...)
# }
# # Read data READY for cohort with FechaInicioF1_date agnos_estudio_2003_10_17 muerte_causa and merge #####
# setwd("C:/Users/passi/Documents/MEGAsync/pHd MEGA/PhD R/")
# tic()
# df<-read.csv("df_ENS_cohort.csv")
# toc()
table(df0$muerte,df0$ENS)
##
## 1 2 3
## 0 2876 4905 6115
## 1 743 507 118
Results for aim 1
Sample characteristics
Hypertension and its care cascade (awareness, treatment and control)
Age-adjusted trends in hypertension and its cascade of care
Age-adjusted trends in SBP and DBP
Hypertension prevalence based on lower BP thresholds
Sensitivity analysis
Prevalence and management of hypertension by gender
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Jump to section:
Abscounty
Introduction
Systematic review
Aims
Aim 1 methods, results and discussion
Aim 2 methods, results and discussion
Aim 3 methods, results and discussion
General discussion