Estimating additive interaction in 2-stage individual participant data meta-analysis.

ABSTRACT: Individual participant data (IPD) meta-analysis provides important opportunities to study interaction and effect modification for which individual studies often lack power. While previous meta-analyses have commonly focused on multiplicative interaction, additive interaction holds greater relevance for public health and may in certain contexts better reflect biological interaction. Methodological literature on interaction in IPD meta-analysis does not cover additive interaction for models including binary or time-to-event outcomes. We aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within 2-stage IPD meta-analysis. First, we explain why direct pooling of study-level RERI esti

SUBMITTER: Basten M 

PROVIDER: S-EPMC12448865 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature