Publication:
A comparison of the effect size estimators in meta-analysis

dc.contributor.authorsYildiz N., Akcil M., Tez M.
dc.date.accessioned2022-03-28T14:56:20Z
dc.date.accessioned2026-01-11T06:20:35Z
dc.date.available2022-03-28T14:56:20Z
dc.date.issued2009
dc.description.abstractThe objective of a meta-analysis is usually to estimate the overall treatment effect and make inferences about the difference between the efffects of the two treatments. This article presents several forms of effect size estimators and compares these effect size estimators and the variance of overall treatment effect estimator within each group. as outcome measures, standarized difference is considered. Four modes of effect size estimators are discussed. Effect size estimators by Glass, Hedges, The Maximum Likelihood, and Shrunken Estimators of Effect Size are employed in this study. Finally, with the help of a software the results of these four effect size estimators are discussed. Estimators are illustrated using a comparison of the effectiveness of amlodipine and placebo on work capacity.
dc.identifier.issn1312885X
dc.identifier.urihttps://hdl.handle.net/11424/256346
dc.language.isoeng
dc.relation.ispartofApplied Mathematical Sciences
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEffect size estimator
dc.subjectFixed effects model
dc.subjectMeta-analysis
dc.subjectRandom effects model
dc.titleA comparison of the effect size estimators in meta-analysis
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage736
oaire.citation.issue13-16
oaire.citation.startPage725
oaire.citation.titleApplied Mathematical Sciences
oaire.citation.volume3

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