A superior odds ratio compared to the risk ratio when estimating moderator effects in meta-regression analyses of randomized controlled trials

A superior odds ratio compared to the risk ratio when estimating moderator effects in meta-regression analyses of randomized controlled trials

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 t...

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Bibliographic Details
Main Authors: 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
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Medical Sciences
Subjects:
moderator effect
interaction
personalized medicine
odds ratio
risk ratio
participant-level variable
study-level variable
meta-analysis
meta-regression
randomized controlled trial
Online Access:http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2020;volume=40;issue=3;spage=119;epage=126;aulast=

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http://www.jmedscindmc.com/article.asp?issn=1011-4564;year=2020;volume=40;issue=3;spage=119;epage=126;aulast=

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