Statistical Methods for Quantifying Between-study Heterogeneity in Meta-analysis with Focus on Rare Binary Events.

ABSTRACT: Meta-analysis, the statistical procedure for combining results from multiple independent studies, has been widely used in medical research to evaluate intervention efficacy and drug safety. In many practical situations, treatment effects vary notably among the collected studies, and the variation, often modeled by the between-study variance parameter τ ², can greatly affect the inference of the overall effect size. In the past, comparative studies have been conducted for both point and interval estimation of τ ². However, most are incomplete, only including a limited subset of existing methods, and some are outdated. Further, none of the studies covers descriptive measures for assessing the level of heterogeneity, nor are they focused on rare binary even

SUBMITTER: Zhang C 

PROVIDER: S-EPMC7901832 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature