Article
The many weak instruments problem and Mendelian randomization.
Statistics in medicine - 10 Feb 2015
Davies Neil M, von Hinke Kessler Scholder Stephanie, Farbmacher Helmut, Burgess Stephen, Windmeijer Frank, Smith George Davey
Abstract excerpt
Instrumental variable estimates of causal effects can be biased when using many instruments that are only weakly associated with the exposure. We describe several techniques to reduce this bias and estimate corrected standard errors. We present our findings using a simulation study and an empirical application. For the latter, we estimate the effect of height on lung function, using genetic variants as...
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