10 citations · 17 across the 3 of their papers we have counts for
4 papers
Causal Effects in Twin Studies: the Role of Interference
Bonnie Smith, Elizabeth L. Ogburn, Matt McGue +2
The use of twins designs to address causal questions is becoming increasingly popular. A standard assumption is that there is no interference between twins---that is, no twin's exp…
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…
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…
On the analysis of tuberculosis studies with intermittent missing sputum data
Daniel Scharfstein, Andrea Rotnitzky, Maria Abraham +3
In randomized studies evaluating treatments for tuberculosis (TB), individuals are scheduled to be routinely evaluated for the presence of TB using sputum cultures. One important e…