Unsupervised and Supervised methods of Propensity Score Adjustment for Bias CRAN Task View: SocialSciences (http://CRAN.R-project.org/view=SocialSciences) Unsupervised methods: Define Local Treatment Differences (LTDs) and Local Average Outcomes (LAOs) within Clusters of well-matched patients and display their distributions across Clusters. This form of Nonparametric Preprocessing of observational data is also called Local Control because it uses post-hoc blocking to implement nested ANOVA (treatment within cluster.) 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. Software Depends: R (>= 1.8.0), cluster, lattice, gss Bob Obenchain <wizbob@att.net> Bob Obenchain <wizbob@att.net> GPL (>= 2) 2011-12-27 application/tgz http://CRAN.R-project.org/package=USPS