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D. Scharfstein

5 papers hereh-index 4913.6k citations153 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • stat.AP2

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedCausal Inference for Comprehensive Cohort Studies

10 citations · 17 across the 3 of their papers we have counts for

collaborators
Showing stat.MEShow all

3 papers · 1 filter

stat.ME2020★ 3 cited

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…

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…

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