![]() ![]() Applications are included for analysis of variance and covariance, maximum likelihood and logistic regression, two-stage least squares, generalized linear regression, and general estimation equations. ![]() Examples of using SAS, SPSS, Stata, and R statistical programs with propensity data are included in Appendices A, B, C, and D, along with a link to a website which includes example commands for each program.Public data sets in examples, that have policy and programmatic relevance across a variety of disciplines, can be used to replicate the analysis presented, to verify procedures, or can be applied to different issues of a particular discipline.(1983), The Central Role of the Propensity Score in Observational Studies for Causal. ![]() (2011), Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures, in.
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