Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis.

ABSTRACT: Meta-analysis of individual patient data (IPD) is increasingly used to synthesize data from multiple trials. IPD meta-analysis offers several advantages over meta-analyzing aggregate data, including the capacity to individualize treatment recommendations. Trials usually collect information on many patient characteristics. Some of these covariates may strongly interact with treatment (and thus be associated with treatment effect modification) while others may have little effect. It is currently unclear whether a systematic approach to the selection of treatment-covariate interactions in an IPD meta-analysis can lead to better estimates of patient-specific treatment effects. We aimed to answer this question by comparing in simulations the standard approach to IPD meta-analysis (no variable s

SUBMITTER: Seo M 

PROVIDER: S-EPMC7898845 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature