2 citations · 3 across the 6 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ME2020
Overlapping-sample Mendelian randomisation with multiple exposures: A Bayesian approach
Linyi Zou, Hui Guo, Carlo Berzuini
Background: Mendelian randomization (MR) has been widely applied to causal inference in medical research. It uses genetic variants as instrumental variables (IVs) to investigate pu…
stat.AP2020
Mendelian Randomization with Incomplete Exposure Data: a Bayesian Approach
Teresa Fazia, Leonardo Egidi, Burcu Ayoglu +9
We expand Mendelian Randomization (MR) methodology to deal with randomly missing data on either the exposure or the outcome variable, and furthermore with data from nonindependent…