On the Q statistic with constant weights in meta-analysis of binary outcomes.

ABSTRACT:

Background

Cochran's Q statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value (under an incorrect null distribution) is part of several popular estimators of the between-study variance, [Formula: see text]. Those applications generally do not account for use of the studies' estimated variances in the inverse-variance weights that define Q (more explicitly, [Formula: see text]). Importantly, those weights make approximating the distribution of [Formula: see text] rather complicated.

Methods

As an alternative, we are investigating a Q statistic, [Formula: see text], whose constant weights use only the studies' arm-level sample sizes. For log-odds-ratio (LOR), log-relative-risk (LRR), and risk difference (RD) as the measures of effect, we stu

SUBMITTER: Kulinskaya E 

PROVIDER: S-EPMC10286409 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature