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dc.contributor.authorTakkouche, Bahi
dc.contributor.authorKhudyakov, Polyna
dc.contributor.authorCosta-Bouzas, Julián
dc.contributor.authorSpiegelman, Donna
dc.date.accessioned2019-09-21T16:11:33Z
dc.date.issued2013
dc.identifier.citationTakkouche, B., P. Khudyakov, J. Costa-Bouzas, and D. Spiegelman. 2013. “Confidence Intervals for Heterogeneity Measures in Meta-Analysis.” American Journal of Epidemiology 178 (6): 993–1004. https://doi.org/10.1093/aje/kwt060.
dc.identifier.issn0002-9262
dc.identifier.issn1476-6256
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41384717*
dc.description.abstractTwo methods of quantifying heterogeneity between studies in meta-analysis were studied. One method quantified the proportion of the total variance of the effect estimate due to variation between studies (R-I), and the other calibrated the variance between studies to the size of the effect itself through a between-study coefficient of variation (CVB). Bootstrap and asymptotic confidence intervals for R-I and CVB were derived and evaluated in an extensive simulation study that covered a wide range of scenarios likely to be encountered in practice. The best performance was given by asymptotic Wald confidence intervals developed for R-I and CVB. The use of these heterogeneity measures together with their confidence intervals was illustrated in 5 typical meta-analyses. A new user-friendly SAS macro (SAS Institute, Inc., Cary, North Carolina) is provided to implement these methods for routine use and can be downloaded at the last author's website.
dc.language.isoen_US
dc.publisherOxford University Press
dash.licenseMETA_ONLY
dc.titleConfidence Intervals for Heterogeneity Measures in Meta-analysis
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalAmerican Journal of Epidemiology
dash.depositing.authorSpiegelman, Donna::37eeac21962b33e4e46e7aedde542849::600
dc.date.available2019-09-21T16:11:33Z
dash.workflow.comments1Science Serial ID 7775
dc.identifier.doi10.1093/aje/kwt060
dash.source.volume178;6
dash.source.page993


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