Article
A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization.
BMC medical research methodology - 10 Feb 2024
Tian Haodong, Tom Brian D M, Burgess Stephen
Abstract excerpt
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 an outcome. Dividing the population into subgroups can reveal effect heterogeneity to inform who would most benefit from...
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