Linked Life Data

21225894

Source:http://linkedlifedata.com/resource/pubmed/id/21225894

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-1-12
pubmed:abstractText
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1097-0258
pubmed:author
pubmed:copyrightInfo
2010 John Wiley & Sons, Ltd.
pubmed:issnType
Electronic
pubmed:day
20
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
312-23
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
A Bayesian subgroup analysis with a zero-enriched Polya Urn scheme.
pubmed:affiliation
Department of Mathematical Science, University of Cincinnati, Cincinnati, OH 45221-0025, U.S.A. sivagas@ucmail.uc.edu
pubmed:publicationType
Journal Article