The data for IMPACT program.

Description

The data for IMPACT program used in Ding et al. (2011).

Usage

data(impact)

Format

A data frame with 1783 observations on the following 12 variables.

Z

randomization

A

whether taking antidepressant medications

M

whether taking mental health therapy

Y

outcome of interest

age

age

gender

gender

race

race

edu

education

marry

married or not

scl0

baseline SCL score

work0

work or not

inc

income/10000

Details

See Ding et al. (2011) for more details of IMPACT program.

References

Ding, P., Geng, Z. and Zhou, X. H. (2011). Identifying Causal Effect for Multi-Component Intervention Using Instrumental Variable Method: with A Case Study of IMPACT Data. Technical Report.

Examples

data(impact)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ImpactIV)
Loading required package: nnet
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ImpactIV/impact.Rd_%03d_medium.png", width=480, height=480)
> ### Name: impact
> ### Title: The data for IMPACT program.
> ### Aliases: impact
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(impact)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>