impact


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


datasets

In this package, you can find two functions proposed in
Ding, Geng and Zhou (2011) to estimate direct and indirect
causal effects with randomization and multiple-component
intervention using instrumental variable method.

Peng Ding

ImpactIV

Identifying Causal Effect for Multi-Component Intervention Using
Instrumental Variable Method

impact function

A data frame with 1783 observations on the following 12 variables.
  <dl>
    <dt><code>Z</code></dt><dd>randomization</dd> <dt><code>A</code></dt><dd>whether taking antidepressant medications</dd> <dt><code>M</code></dt><dd>whether taking mental health therapy</dd> <dt><code>Y</code></dt><dd>outcome of interest</dd> <dt><code>age</code></dt><dd>age</dd> <dt><code>gender</code></dt><dd>gender</dd> <dt><code>race</code></dt><dd>race</dd> <dt><code>edu</code></dt><dd>education</dd> <dt><code>marry</code></dt><dd>married or not</dd> <dt><code>scl0</code></dt><dd>baseline SCL score</dd> <dt><code>work0</code></dt><dd>work or not</dd> <dt><code>inc</code></dt><dd>income/10000</dd> </dl> 

impact: The data for IMPACT program.

Description

Usage

Arguments

Format

Source

Details

References

Examples