Estimating interactions in individual participant data meta-analysis: a comparison of methods in practice.

ABSTRACT: Medical interventions may be more effective in some types of individuals than others and identifying characteristics that modify the effectiveness of an intervention is a cornerstone of precision or stratified medicine. The opportunity for detailed examination of treatment-covariate interactions can be an important driver for undertaking an individual participant data (IPD) meta-analysis, rather than a meta-analysis using aggregate data. A number of recent modelling approaches are available. We apply these methods to the Perinatal Antiplatelet Review of International Studies (PARIS) Collaboration IPD dataset and compare estimates between them. We discuss the practical implications of applying these methods, which may be of interest to aid meta-analysists in the use of these, often complex

SUBMITTER: Walker R 

PROVIDER: S-EPMC9535994 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature