7 citations · 7 across the 5 of their papers we have counts for
5 papers
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…
Mendelian randomization in a multi-ancestry world: reflections and practical advice
Amy M. Mason, Verena Zuber, Gibran Hemani +8
Many Mendelian randomization (MR) papers have been conducted only in people of European ancestry, limiting transportability of results to the global population. Expanding MR to div…
Outlier Detection in Mendelian Randomisation
Maximilian M Mandl, Anne-Laure Boulesteix, Stephen Burgess +1
Mendelian Randomisation (MR) uses genetic variants as instrumental variables to infer causal effects of exposures on an outcome. One key assumption of MR is that the genetic varian…
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
Andrew J. Grant, Stephen Burgess
Valid estimation of a causal effect using instrumental variables requires that all of the instruments are independent of the outcome conditional on the risk factor of interest and…