A superior odds ratio compared to the risk ratio when estimating moderator effects in meta-regression analyses of randomized controlled trials
oleh: Chih-Chien Chiu, Chien-Fu Chen, Po-Jen Hsiao, Dung-Jang Tsai, Hsueh-Lu Chang, Wen-Hui Fang, Wei-Teing Chen, Jenq-Shyong Chan, Min-Tser Liao, Yi-Jung Ho, Wen Su, Ying-Kai Chen, Hui-Han Hu, Zheng-Zong Lai, Chin Lin
| Format: | Article |
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| Diterbitkan: | Wolters Kluwer Medknow Publications 2020-01-01 |
Deskripsi
Background: Moderator effect assessment is important in personalized medicine. We mathematically prove that the average summary value is actually nonlinearly to logRR, and we assess the bias from linear meta-regression on logRR via simulation. Methods: In the meta-analysis of randomized controlled trials, the moderator effect is generally evaluated by the linear meta-regression of the logarithmic risk ratio (RR) versus the average summary value of the entire study population. Conclusions: We recommend using linear meta-regression on logarithmic odds ratio (logOR) since it has been shown that the average summary value is actually linear to logOR.