Individual participant data meta-analyses should not ignore clustering

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Individual participant data meta-analyses should not ignore clustering is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.JCLINEPI.2012.12.017
P932PMC publication ID3717206
P698PubMed publication ID23651765
P5875ResearchGate publication ID236653092

P50authorThomas P A DebrayQ56520487
Boliang GuoQ57027060
Karel G. M. MoonsQ104497142
Ewout W. SteyerbergQ37828851
Jonathan DeeksQ47705879
P2093author name stringGhada Abo-Zaid
Richard David Riley
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Individual participant data meta-analysis of prognostic factor studies: state of the art?Q34244162
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Beta blockade during and after myocardial infarction: an overview of the randomized trialsQ34557544
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Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirementsQ47416716
P433issue8
P921main subjectmeta-analysisQ815382
P304page(s)865-873.e4
P577publication date2013-05-04
P1433published inJournal of Clinical EpidemiologyQ6294959
P1476titleIndividual participant data meta-analyses should not ignore clustering
P478volume66

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