Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: James E. Helmreich, Robert M. Pruzek
Title: PSAgraphics: An R Package to Support Propensity Score Analysis
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.

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Paper: PSAgraphics: An R Package to Support Propensity Score Analysis     Download PDF (Downloads: 10619)
Supplements:
PSAgraphics_1.3.tar.gz: R source package Download (Downloads: 1631; 29KB)
v29i06.R: R example code from the paper Download (Downloads: 1660; 2KB)
DOI: 10.18637/jss.v029.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.