10 citations · 17 across the 3 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ME2019★ 10 cited
Causal Inference for Comprehensive Cohort Studies
Yi Lu, Daniel O. Scharfstein, Maria M. Brooks +2
In a comprehensive cohort study of two competing treatments (say, A and B), clinically eligible individuals are first asked to enroll in a randomized trial and, if they refuse, are…
stat.ME2019★ 4 cited
A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks
Yanxun Xu, Daniel Scharfstein, Peter Müller +1
We develop a Bayesian nonparametric (BNP) approach to evaluate the causal effect of treatment in a randomized trial where a nonterminal event may be censored by a terminal event, b…