Medical College of Wisconsin
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A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme. Stat Med 2011 Feb 20;30(4):312-23 PMID: 21225894

Pubmed ID



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 P


Purushottam W. Laud PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin


2-s2.0-78651263671   15 Citations

MESH terms used to index this publication - Major topics in bold

Bayes Theorem
Clinical Trials as Topic
Models, Statistical
jenkins-FCD Prod-299 9ef562391eceb2b8f95265c767fbba1ce5a52fd6