dc.contributor.author | Takkouche, Bahi | |
dc.contributor.author | Khudyakov, Polyna | |
dc.contributor.author | Costa-Bouzas, Julián | |
dc.contributor.author | Spiegelman, Donna | |
dc.date.accessioned | 2019-09-21T16:11:33Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Takkouche, 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.issn | 0002-9262 | |
dc.identifier.issn | 1476-6256 | |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:41384717 | * |
dc.description.abstract | Two 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.iso | en_US | |
dc.publisher | Oxford University Press | |
dash.license | META_ONLY | |
dc.title | Confidence Intervals for Heterogeneity Measures in Meta-analysis | |
dc.type | Journal Article | |
dc.description.version | Version of Record | |
dc.relation.journal | American Journal of Epidemiology | |
dash.depositing.author | Spiegelman, Donna::37eeac21962b33e4e46e7aedde542849::600 | |
dc.date.available | 2019-09-21T16:11:33Z | |
dash.workflow.comments | 1Science Serial ID 7775 | |
dc.identifier.doi | 10.1093/aje/kwt060 | |
dash.source.volume | 178;6 | |
dash.source.page | 993 | |