Extreme between-study homogeneity in meta-analyses could offer useful insights is a research paper published in Journal of Clinical Epidemiology (2006). On theSindex it has a DataRank of 0.564. It has been cited 42 times.
ObjectivesMeta-analyses are routinely evaluated for the presence of large between-study heterogeneity. We examined whether it is also important to probe whether there is extreme between-study homogeneity.Study designWe used heterogeneity tests with left-sided statistical significance for inference and developed a Monte Carlo simulation test for testing extreme homogeneity in risk ratios across studies, using the empiric distribution of the summary risk ratio and heterogeneity statistic. A left-sided P=0.01 threshold was set for claiming extreme homogeneity to minimize type I error.ResultsAmong 11,803 meta-analyses with binary contrasts from the Cochrane Library, 143 (1.21%) had left-sided P-value ConclusionExtreme between-study homogeneity may provide useful insights about a meta-analysis and its constituent studies.
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0.564
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