Causal Inference

Robust Mendelian randomization methods incorporating weak and correlated instruments

Mendelian randomization (MR) is a major tool to test the causal association between risk factors and disease using genetic variants as instrumental variables.MR makes several strong assumptions, which can be violated in practice and lead to biased estimates and statistical inference. We develop a robust and powerful MR method requiring weaker and more realistic assumptions.