4 papers · 1 filter
Multivariable Mendelian randomization with weak instruments: a comparison of Bayesian and frequentist methods
Andrew J. Grant, Ashish Patel, Stephen Burgess
Weak instruments are a well known limitation for valid causal inference in Mendelian randomization studies. In the single exposure setting, weak instrument bias can be mitigated by…
Efficient semiparametric estimation of marginal treatment effects with genetic instrumental variables
Ashish Patel, Francis J DiTraglia, Stephen Burgess
Alcohol misuse is a key target of public health strategies aimed at reducing cardiovascular risk. The effect of excessive alcohol consumption on blood pressure may vary systematica…
Stratification-based Instrumental Variable Analysis Framework for Nonlinear Effect Analysis
Haodong Tian, Ashish Patel, Stephen Burgess
Nonlinear causal effects are prevalent in many research scenarios involving continuous exposures, and instrumental variables (IVs) can be employed to investigate such effects, part…
Weak instruments in multivariable Mendelian randomization: methods and practice
Ashish Patel, James Lane, Stephen Burgess
The method of multivariable Mendelian randomization uses genetic variants to instrument multiple exposures, to estimate the effect that a given exposure has on an outcome condition…