README.md

In AshTai/iPSEsv: General approach of causal mediation analysis for survival outcome under sequential mediators.

iPSEsv

General approach of causal mediation analysis for survival outcome under sequential mediators

To install this package, please copy and paste following codes into your R session:

1. install.packages("devtools")
2. library(devtools)

3. install_github("AshTai/iPSEsv")

4. Required packages:

5. require(timereg)

6. require(survival)

Example

library(iPSEsv)
data <- data.frame(time=c(4,3,1,1,2,2,3,3,5,10,2,5,1,7)
status=c(1,1,1,0,1,1,0,1,1,1,0,1,1,0)
x1=rnorm(14,0,1)
x2=rnorm(14,0,1)
x3=rnorm(14,0,1)
c1=rnorm(14,0,1)
c2=rnorm(14,0,1)
c3=rnorm(14,0,1)
sex=c(0,0,1,0,1,1,1,1,1,0,0,0,0,1)
age=c(10,4,2,19,22,31,18,21,41,22,31,29,11,32)
E=sample(c(0,1),size = 14,replace = T))

base.conf <- c("sex","age")
time.conf <- c("c1","c2","c3")
mediators <- c("x1","x2","x3")
DAGs <- c("c1","x1","c2","x2","c3","x3")
exposure <- "E"

output <- iPSEsv(data=data,exposure=exposure,base.conf=base.conf,time.conf=time.conf,
                 mediators=mediators,DAGs=DAGs,suv.model="Aalen")

Contact information

An-Shun Tai ([e-mail]) https://anshuntai.weebly.com Pei-Hsuan Lin ([e-mail]) Sheng-Hsuan Lin ([e-mail])

AshTai/iPSEsv documentation built on Oct. 30, 2019, 5:01 a.m.