data3: Toy dataset 3

In AllanJe/multimediate: Causal mediation analysis in presence of multiple mediators uncausally related

Toy dataset 3

Description

A toy dataset for causal mediation analysis with 3 uncausally related mediators.

Usage

data("data3")

Format

A data frame with 1000 observations on the following 8 variables.

Treatment

a factor with levels 0 1

C1

a factor with levels 0 1

C2

a factor with levels 0 1

C3

a factor with levels 0 1

M1

a numeric vector

M2

a numeric vector

M3

a numeric vector

Outcome

a factor with levels 0 1 2 3

Examples

#data(data3)
#data3$Treatment=as.factor(data3$Treatment)
#data3$C1=as.factor(data3$C1)
#data3$C2=as.factor(data3$C2)
#data3$C3=as.factor(data3$C3)
#data3$M1=as.numeric(data3$M1)
#data3$M2=as.numeric(data3$M2)
#data3$M3=as.numeric(data3$M3)
#data3$Outcome=as.factor(data3$Outcome)

#summary(data3)

#M1reg=lm(M1~ Treatment + C1 + C3, data=data3)
#M2reg=lm(M2~ Treatment + C1 + C2, data=data3)
#M3reg=lm(M3~ Treatment + C2 + C3, data=data3)

#library(MASS)
#Yreg=polr(Outcome ~ Treatment + M1 + M2 + M3 + C1 + C2 + C3 , data = data3, method = "probit")

#med.analysis=multimediate(lmodel.m=list(M1reg,M2reg,M3reg),
#correlated=TRUE,model.y=Yreg,treat="Treatment",
#treat.value=1,control.value=0,J=100,conf.level=0.95)

#summary(med.analysis,opt="avg")

AllanJe/multimediate documentation built on July 25, 2024, 12:14 p.m.