Linked Life Data

18085660

Source:http://linkedlifedata.com/resource/pubmed/id/18085660

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-4-3
pubmed:abstractText
When making Bayesian inferences we need to elicit an expert's opinion to set up the prior distribution. For applications in clinical trials, we study this problem with binary variables. A critical and often ignored issue in the process of eliciting priors in clinical trials is that medical investigators can seldom specify the prior quantities with precision. In this paper, we discuss several methods of eliciting beta priors from clinical information, and we use simulations to conduct sensitivity analyses of the effect of imprecise assessment of the prior information. These results provide useful guidance for choosing methods of eliciting the prior information in practice.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1521-4036
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
212-23
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Elicitation of a beta prior for Bayesian inference in clinical trials.
pubmed:affiliation
Biostatistics and Programming, Sanofi-Aventis, BWX200-4-1642, 200 Crossing Blvd., Bridgewater, NJ 08807, USA. yujun.wu@sanofi-aventis.com
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural