On the Meta-Analysis of Treatment Differences in Heteroscedastic Samples

dc.contributor.authorArgac, Dogande
dc.contributor.authorHartung, Joachimde
dc.contributor.authorMakambi, Kepher Henryde
dc.date.accessioned2004-12-06T18:42:00Z
dc.date.available2004-12-06T18:42:00Z
dc.date.issued2000de
dc.description.abstractIn many meta-analysis cases the estimator of the overall effect in independent trials or experiments leads to unjustified significant results. This paper considers trials with two arms where the summary statistic of interest is either the mean difference or the risk difference. By using convexity principles of the relevant composed functions and the moments of the chi-square distribution, corrections are made on the estimated standard deviation of the estimator of the overall treatment difference. It is shown, analytically and by simulations, that by making such corrections on the estimated standard deviation, significance levels are attained which are relatively closer to the nominal level.en
dc.format.extent174407 bytes
dc.format.extent181595 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/5015
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15108
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectconvexityen
dc.subjectmean differenceen
dc.subjectrisk differenceen
dc.subjectsignificance levelsen
dc.subject.ddc310de
dc.titleOn the Meta-Analysis of Treatment Differences in Heteroscedastic Samplesen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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