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...
Auteurs principaux: | , , |
---|---|
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 |