A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme. Stat Med 2011 Feb 20;30(4):312-23
Date
01/13/2011Pubmed ID
21225894DOI
10.1002/sim.4108Scopus ID
2-s2.0-78651263671 (requires institutional sign-in at Scopus site) 25 CitationsAbstract
We introduce a new approach to inference for subgroups in clinical trials. We use Bayesian model selection, and a threshold on posterior model probabilities to identify subgroup effects for reporting. For each covariate of interest, we define a separate class of models, and use the posterior probability associated with each model and the threshold to determine the existence of a subgroup effect. As usual in Bayesian clinical trial design we compute frequentist operating characteristics, and achieve the desired error probabilities by choosing an appropriate threshold(s) for the posterior probabilities.
Author List
Sivaganesan S, Laud PW, Müller PAuthor
Purushottam W. Laud PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Bayes TheoremClinical Trials as Topic
Female
Humans
Male
Models, Statistical
