Meta-analysis of Odds Ratios from Heterogeneous Clinical Studies

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dc.contributor.authorSong, Mina
dc.contributor.authorBelle, Macy
dc.contributor.authorHan, David
dc.date.accessioned2023-02-17T17:19:45Z
dc.date.available2023-02-17T17:19:45Z
dc.date.issued2022-12
dc.description.abstractMany systematic reviews of randomized clinical trials require meta-analyses of odds ratios. A conventional method estimates the overall odds ratios via weighted averages of the logarithm of individual odds ratios. However, this approach has several deficiencies due to the underlying assumptions and approximations. The goal of this study is to understand and quantify the methodological pitfalls in conducting a meta-analysis of odds ratios. The fixed-effect and random-effect models of pooled odds ratios are compared by applying to a meta-analysis of SNP studies. A popular statistical software R is used for the analysis along with SPSS and SAS. It is found that the point estimates and confidence intervals for the overall log odds ratio can differ substantially between the traditional and alternative methods, which would affect the resulting statistical inferences. It is recommended that for producing reliable results, the traditional methods for meta-analysis of odds ratios should be discouraged.en_US
dc.description.departmentManagement Science and Statisticsen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1754
dc.language.isoen_USen_US
dc.publisherUTSA Office of Undergraduate Researchen_US
dc.relation.ispartofseriesThe UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8
dc.subjectundergraduate student worksen_US
dc.subjectclinical trialsen_US
dc.subjectlogistic regressionen_US
dc.subjectmeta-analysisen_US
dc.subjectodds ratiosen_US
dc.titleMeta-analysis of Odds Ratios from Heterogeneous Clinical Studiesen_US
dc.typePosteren_US

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