2 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2024
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study
Carlo Berzuini, Davide Luciani, Hiren C. Patel
Causal inference methods for observational data are increasingly recognized as a valuable complement to randomized clinical trials (RCTs). They can, under strong assumptions, emula…
stat.ME2021★ 1 cited
Bayesian Mendelian randomization with study heterogeneity and data partitioning for large studies
Linyi Zou, Hui Guo, Carlo Berzuini
Background: Mendelian randomization (MR) is a useful approach to causal inference from observational studies when randomised controlled trials are not feasible. However, study hete…
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…