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PSAgraphics: An R Package to Support Propensity Score Analysis

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  • Helmreich, James E.
  • Pruzek, Robert M.

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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  • Helmreich, James E. & Pruzek, Robert M., 2009. "PSAgraphics: An R Package to Support Propensity Score Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i06).
    • Handle: RePEc:jss:jstsof:v:029:i06
    DOI: http://hdl.handle.net/10.18637/jss.v029.i06
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    References listed on IDEAS

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    1. Denis Conniffe & Vanessa Gash & Philip J. O'Connell, 2000. "Evaluating State Programmes - “Natural Experiments” and Propensity Scores," The Economic and Social Review, Economic and Social Studies, vol. 31(4), pages 283-308.
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    Cited by:

    1. Bryan Keller & Elizabeth Tipton, 2016. "Propensity Score Analysis in R," Journal of Educational and Behavioral Statistics, , vol. 41(3), pages 326-348, June.

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