18947971

Source:http://linkedlifedata.com/resource/pubmed/id/18947971

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0038215, umls-concept:C0282440, umls-concept:C0459471, umls-concept:C0679201, umls-concept:C2349975
pubmed:issue	1
pubmed:dateCreated	2008-12-19
pubmed:abstractText	Randomized trials generally use "frequentist" statistics based on P-values and 95% confidence intervals. Frequentist methods have limitations that might be overcome, in part, by Bayesian inference. To illustrate these advantages, we re-analyzed randomized trials published in four general medical journals during 2004.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8801383
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	1878-5921
pubmed:author	pubmed-author:AustinPeter CPC, pubmed-author:BeattieW ScottWS, pubmed-author:HuxJanet EJE, pubmed-author:LaupacisAndreasA, pubmed-author:WijeysunderaDuminda NDN
pubmed:issnType	Electronic
pubmed:volume	62
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	13-21.e5
pubmed:meshHeading	pubmed-meshheading:18947971-Bayes Theorem, pubmed-meshheading:18947971-Biometry, pubmed-meshheading:18947971-Data Interpretation, Statistical, pubmed-meshheading:18947971-Evidence-Based Medicine, pubmed-meshheading:18947971-Models, Statistical, pubmed-meshheading:18947971-Probability, pubmed-meshheading:18947971-Randomized Controlled Trials as Topic, pubmed-meshheading:18947971-Research Design
pubmed:year	2009
pubmed:articleTitle	Bayesian statistical inference enhances the interpretation of contemporary randomized controlled trials.
pubmed:affiliation	Department of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada. d.wijeysundera@utoronto.ca
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't