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Authors: James E. Helmreich, Robert M. Pruzek
Title: [download]
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PSAgraphics: An R Package to Support Propensity Score Analysis
Reference: Vol. 29, Issue 6, Feb 2009
Submitted 2008-09-24, Accepted 2008-12-22
Type: Article
Abstract:

Propensity score analysis is a technique for adjusting for selection bias in observational data. Estimated propensity scores (probability of treatment given observed covariates) are used for stratification of observations. Within strata covariates should be more balanced between the two treatments than without the stratification. PSAgraphics is an R package that provides flexible graphical tools to assess within strata balance between treatment groups, as well as how covariate distributions differ across strata. Additional graphical tools facilitate estimation of treatment effects having adjusted for covariate differences. Several new and conventional numerical measures of balance are also provided.

Paper: [download]
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PSAgraphics: An R Package to Support Propensity Score Analysis
(application/pdf, 683.4 KB)
Supplements: [download]
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PSAgraphics_1.3.tar.gz: R source package
(application/x-gzip, 29.3 KB)
[download]
(1369)
v29i06.R: R example code from the paper
(text/plain, 2.9 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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