10091910

Source:http://linkedlifedata.com/resource/pubmed/id/10091910

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0033204, umls-concept:C0205390, umls-concept:C0282461, umls-concept:C0681890, umls-concept:C1524063
pubmed:issue	1
pubmed:dateCreated	1999-5-20
pubmed:abstractText	Predictive probability is particularly useful in aiding a decision-making process related to drug development. This is especially true for decisions occurring as the result of interim analyses of clinical trials. Examples of clinical trial applications of Bayesian predictive probability and the use of the beta-binomial distribution are described.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9200436
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Mar
pubmed:issn	1054-3406
pubmed:author	pubmed-author:AndersenJ SJS, pubmed-author:JohnsDD
pubmed:issnType	Print
pubmed:volume	9
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	67-79
pubmed:dateRevised	2007-11-15
pubmed:meshHeading	pubmed-meshheading:10091910-Bayes Theorem, pubmed-meshheading:10091910-Binomial Distribution, pubmed-meshheading:10091910-Clinical Trials, Phase II as Topic, pubmed-meshheading:10091910-Clinical Trials, Phase III as Topic, pubmed-meshheading:10091910-Decision Making, pubmed-meshheading:10091910-Dose-Response Relationship, Drug, pubmed-meshheading:10091910-Drug Evaluation, pubmed-meshheading:10091910-Humans
pubmed:year	1999
pubmed:articleTitle	Use of predictive probabilities in phase II and phase III clinical trials.
pubmed:affiliation	Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, USA.
pubmed:publicationType	Journal Article