Variable selection and raking in propensity scoring.
This paper discusses some practical issues in applying propensity scoring in the context of endpoint analysis in a pre-/posttest longitudinal design with an ordinal measure of treatment intensity and a high-dimensional potential covariate space: how many covariates to include in propensity models; how to evaluate the adequacy of tentative propensity models; and how to tailor models to provide hypercontrol on a limited subset of covariates. These issues arose in the evaluation of a health communication program.
Judkins
David R
DR
Westat, 1650 Research Boulevard, Rockville, MD 20850, USA. DavidJudkins@westat.com
Morganstein
David
D
Zador
Paul
P
Piesse
Andrea
A
Barrett
Brandon
B
Mukhopadhyay
Pushpal
P
D000329:Advertising; D006293:Health Promotion / Q000706:statistics & numerical data*; D016013:Likelihood Functions; D008137:Longitudinal Studies; D015233:Models, Statistical; D014481:United States