| Literature DB >> 16708347 |
David R Judkins1, David Morganstein, Paul Zador, Andrea Piesse, Brandon Barrett, Pushpal Mukhopadhyay.
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. Copyright (c) 2006 John Wiley & Sons, Ltd.Entities:
Mesh:
Year: 2007 PMID: 16708347 DOI: 10.1002/sim.2591
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373