Ad-hoc method for causal estimation with binary outcomes, where 2nd stage regression is substituted with a logistic regression.
Genetic variants must satisfy the IV assumptions. Genes each exert a small effect on the exposure in order to approximately identify the same causal effect. Non-collapsibility of odds ratio means that population average rather than individual-level causal effects are estimated.
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- Palmer TM, Thompson JR, Tobin MD, Sheehan NA, Burton PR. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses. International Journal of Epidemiology 2008;37:1161-1168.