USPS: Unsupervised and Supervised methods of Propensity Score Adjustment for Bias

Unsupervised methods: identify and display the distribution of Local Treatment Differences (LTDs) and Local Average Treatment Effects (LATEs) across Clusters of patients chosen so as to be relatively well matched on patient baseline X-covariates. Supervised methods: estimate and validate Propensity Scores and use them to either sub-group or smooth observed patient outcomes over the common support of alternative treatment cohorts.

Version: 1.2-0
Depends: R (≥ 1.8.0), cluster, lattice, gss
Published: 2009-02-15
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob at att.net>
License: GPL (≥ 2)
URL: http://www.r-project.org, http://members.iquest.net/~softrx/
In views: SocialSciences
CRAN checks: USPS results

Downloads:

Package source: USPS_1.2-0.tar.gz
MacOS X binary: USPS_1.2-0.tgz
Windows binary: USPS_1.2-0.zip
Reference manual: USPS.pdf
Old sources: USPS archive