Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics.

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Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics. is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1014472876
P356DOI10.1186/1471-2288-11-41
P932PMC publication ID3102034
P698PubMed publication ID21473747
P5875ResearchGate publication ID51033053

P50authorJayne TierneyQ28322221
Andrew CopasQ38545184
P2093author name stringJack Bowden
Sarah Burdett
P2860cites workBias in meta-analysis detected by a simple, graphical testQ24685585
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Beta blockade during and after myocardial infarction: an overview of the randomized trialsQ34557544
Neoadjuvant chemotherapy in invasive bladder cancer: a systematic review and meta-analysisQ35152226
Confidence intervals for the amount of heterogeneity in meta-analysisQ36389448
Why sources of heterogeneity in meta-analysis should be investigatedQ36888653
Graphical displays for meta-analysis: An overview with suggestions for practiceQ38521592
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P275copyright licenseCreative Commons Attribution 2.0 GenericQ19125117
P6216copyright statuscopyrightedQ50423863
P921main subjectstatisticsQ12483
meta-analysisQ815382
P304page(s)41
P577publication date2011-04-07
P1433published inBMC Medical Research MethodologyQ15752152
P1476titleQuantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics
P478volume11

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