impact: The data for IMPACT program.
In ImpactIV: Identifying Causal Effect for Multi-Component Intervention Using Instrumental Variable Method
Description
Usage
Format
Details
References
Examples
Description
The data for IMPACT program used in Ding et al. (2011).
Usage
1
Format
A data frame with 1783 observations on the following 12 variables.
Zrandomization
Awhether taking antidepressant medications
Mwhether taking mental health therapy
Youtcome of interest
ageage
gendergender
racerace
edueducation
marrymarried or not
scl0baseline SCL score
work0work or not
incincome/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
1
ImpactIV documentation built on May 1, 2019, 8:04 p.m.
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Description Usage Format Details References Examples
Description
The data for IMPACT program used in Ding et al. (2011).
Usage
1 |
Format
A data frame with 1783 observations on the following 12 variables.
Zrandomization
Awhether taking antidepressant medications
Mwhether taking mental health therapy
Youtcome of interest
ageage
gendergender
racerace
edueducation
marrymarried or not
scl0baseline SCL score
work0work or not
incincome/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
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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