title: Variable selection and raking in propensity scoring.
abstract: 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.
authors.affiliation: Westat, 1650 Research Boulevard, Rockville, MD 20850, USA. DavidJudkins@westat.com
authors.forename: David R
authors.initials: DR
authors.lastname: Judkins
authors.forename: David
authors.initials: D
authors.lastname: Morganstein
authors.forename: Paul
authors.initials: P
authors.lastname: Zador
authors.forename: Andrea
authors.initials: A
authors.lastname: Piesse
authors.forename: Brandon
authors.initials: B
authors.lastname: Barrett
authors.forename: Pushpal
authors.initials: P
authors.lastname: Mukhopadhyay
mesh_terms: D000329:Advertising; D006293:Health Promotion / Q000706:statistics & numerical data*; D016013:Likelihood Functions; D008137:Longitudinal Studies; D015233:Models, Statistical; D014481:United States