PSAboot-package

Bootstrapping procedures for Propensity Score Analysis.

It is often advantageous to test a hypothesis more than once
in the context of propensity score analysis (Rosenbaum, 2012)
<doi:10.1093/biomet/ass032>. The functions in this package facilitate
bootstrapping for propensity score analysis (PSA). By default,
bootstrapping using two classification tree methods (using 'rpart' and
'ctree' functions), two matching methods (using 'Matching' and
'MatchIt' packages), and stratification with logistic regression. A
framework is described for users to implement additional propensity
score methods. Visualizations are emphasized for diagnosing balance;
exploring the correlation relationships between bootstrap samples and
methods; and to summarize results.

Jason Bryer

PSAboot

Bootstrapping for Propensity Score Analysis

PSAboot-package function

Maintainer: Jason Bryer <a href="/link/jason%40bryer.org?package=PSAboot&version=1.3.9" data-mini-rdoc="PSAboot::jason@bryer.org">jason@bryer.org</a> (<a href="https://orcid.org/0000-0002-2454-0402">ORCID</a>)

Author

Bootstrapping for Propensity Score Analysis — PSAboot-package

Maintainer: Jason Bryer <a href='mailto:jason@bryer.org'>jason@bryer.org</a> (<a href='https://orcid.org/0000-0002-2454-0402'>ORCID</a>)

PSAboot-package: Bootstrapping for Propensity Score Analysis

Description

Arguments

Author

See Also