227 citations · 364 across the 12 of their papers we have counts for
Showing 2016Show all
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math.ST2016★ 2 cited
Bayesian Mendelian Randomization
Carlo Berzuini, Hui Guo, Stephen Burgess +1
Our Bayesian approach to Mendelian Randomisation uses multiple instruments to assess the putative causal effect of an exposure on an outcome. The approach is robust to violations o…
stat.ME2016★ 63 cited
Robust instrumental variable methods using multiple candidate instruments with application to Mendelian randomization
Stephen Burgess, Jack Bowden, Frank Dudbridge +1
Mendelian randomization is the use of genetic variants to make causal inferences from observational data. The field is currently undergoing a revolution fuelled by increasing numbe…