A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization

Abstract Background Mendelian randomization is a popular method for causal inference with observational data that uses genetic variants as instrumental variables. Similarly to a randomized trial, a standard Mendelian randomization analysis estimates the population-averaged effect of an exposure on a...

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Détails bibliographiques
Auteurs principaux: Haodong Tian, Brian D. M. Tom, Stephen Burgess
Format: Article
Langue:English
Publié: BMC 2024-02-01
Collection:BMC Medical Research Methodology
Sujets:
Accès en ligne:https://doi.org/10.1186/s12874-024-02153-1