Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity
dc.contributor.author | Pereira, Tiago V. [UNIFESP] | |
dc.contributor.author | Patsopoulos, Nikolaos A. | |
dc.contributor.author | Salanti, Georgia | |
dc.contributor.author | Ioannidis, John P. A. | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Federal de São Paulo (UNIFESP) | |
dc.contributor.institution | Univ Ioannina | |
dc.contributor.institution | Harvard Univ | |
dc.contributor.institution | Fdn Res & Technol Hellas | |
dc.contributor.institution | Tufts Univ | |
dc.contributor.institution | Stanford Univ | |
dc.date.accessioned | 2016-01-24T13:59:29Z | |
dc.date.available | 2016-01-24T13:59:29Z | |
dc.date.issued | 2010-04-01 | |
dc.description.abstract | We describe how an appropriate interpretation of the Q-test depends on its power to detect a given typical amount of between-study variance (tau(2)) as well as prior beliefs on heterogeneity. We illustrate these concepts in an evaluation of 1011 meta-analyses of clinical trials with >= 4 studies and binary outcomes. These concepts can be seen as an application of the Bayes theorem. Across the 1011 meta-analyses, power to detect typical heterogeneity was low in most situations. Thus, usually a non-significant Q test did not change perceptibly prior convictions on heterogeneity. Conversely, significant results for the Q test typically augmented considerably the probability of heterogeneity. the posterior probability of heterogeneity depends on what tau(2) we want to detect. With the same approach, one may also estimate the posterior probability for the presence of heterogeneity that is large enough to annul statistically significant summary effects; that is half the average within-study variance of the combined studies; and that is able to change the summary effect estimate of the meta-analysis by 20%. the discussed analyses are exploratory, and may depend heavily on prior assumptions when power for the Q-test is low. Statistical heterogeneity in meta-analyses should be cautiously interpreted considering the power to detect a specific tau(2) and prior assumptions about the presence of heterogeneity. Copyright (C) 2010 John Wiley & Sons, Ltd. | en |
dc.description.affiliation | Heart Inst InCor, Lab Genet & Mol Cardiol, BR-05403000 São Paulo, Brazil | |
dc.description.affiliation | Universidade Federal de São Paulo, Dept Biochem & Mol Biol, BR-05403000 São Paulo, Brazil | |
dc.description.affiliation | Univ Ioannina, Sch Med, Dept Hyg & Epidemiol, Clin & Mol Epidemiol Unit, GR-45110 Ioannina, Greece | |
dc.description.affiliation | Harvard Univ, Brigham & Womens Hosp, Sch Med, Dept Med,Div Genet, Boston, MA 2115 USA | |
dc.description.affiliation | Fdn Res & Technol Hellas, Biomed Res Inst, Ioannina 45110, Greece | |
dc.description.affiliation | Tufts Univ, Sch Med, Tufts Clin & Translat Sci Inst, Boston, MA 02111 USA | |
dc.description.affiliation | Tufts Univ, Sch Med, Ctr Genet Epidemiol & Modeling, Tufts Med Ctr,Inst Clin Res & Hlth Policy Studies, Boston, MA 02111 USA | |
dc.description.affiliation | Tufts Univ, Sch Med, Dept Med, Boston, MA 02111 USA | |
dc.description.affiliation | Stanford Univ, Sch Med, Stanford Prevent Res Ctr, Stanford, CA 94305 USA | |
dc.description.affiliationUnifesp | Universidade Federal de São Paulo, Dept Biochem & Mol Biol, BR-05403000 São Paulo, Brazil | |
dc.description.source | Web of Science | |
dc.description.sponsorship | Wood-Whelan research fellowship for a short-term visit at the Department of Hygiene and Epidemiology at the University of Ioannina | |
dc.description.sponsorship | PENED training grant from the European Union Social Fund | |
dc.description.sponsorship | Greek Ministry of Development, General Secretariat of Research and Technology | |
dc.format.extent | 149-161 | |
dc.identifier | http://dx.doi.org/10.1002/jrsm.13 | |
dc.identifier.citation | Research Synthesis Methods. Hoboken: Wiley-Blackwell, v. 1, n. 2, p. 149-161, 2010. | |
dc.identifier.doi | 10.1002/jrsm.13 | |
dc.identifier.issn | 1759-2879 | |
dc.identifier.uri | http://repositorio.unifesp.br/handle/11600/32400 | |
dc.identifier.wos | WOS:000209380400005 | |
dc.language.iso | eng | |
dc.publisher | Wiley-Blackwell | |
dc.relation.ispartof | Research Synthesis Methods | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.license | http://olabout.wiley.com/WileyCDA/Section/id-406071.html | |
dc.subject | heterogeneity | en |
dc.subject | Q test | en |
dc.subject | Bayes theorem | en |
dc.subject | power analysis | en |
dc.subject | meta-analysis | en |
dc.title | Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity | en |
dc.type | info:eu-repo/semantics/article |