Article
Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses.
International journal of epidemiology - 1 Oct 2008
Palmer Tom M, Thompson John R, Tobin Martin D, Sheehan Nuala A, Burton Paul R
Abstract excerpt
BACKGROUND: Mendelian randomization uses a carefully selected gene as an instrumental-variable (IV) to test or estimate an association between a phenotype and a disease. Classical IV analysis assumes linear relationships between the variables, but disease status is often binary and modelled by a logistic regression. When the linearity assumption between the variables does not hold the IV estimates will be biased....
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