Testing concordance of instrumental variable effects in generalized linear models with application to Mendelian randomization.

Abstract excerpt

Instrumental variable regression is one way to overcome unmeasured confounding and estimate causal effect in observational studies. Built on structural mean models, there has been considerable work recently developed for consistent estimation of causal relative risk and causal odds ratio. Such models can sometimes suffer from identification issues for weak instruments. This hampered the applicability of Mendelian...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bias
• Share to Causality
• Share to Confounding Factors, Epidemiologic