10 citations · 36 across the 10 of their papers we have counts for
10 papers
Estimands in Real-World Evidence Studies
Jie Chen, Daniel Scharfstein, Hongwei Wang +6
A Real-World Evidence (RWE) Scientific Working Group (SWG) of the American Statistical Association Biopharmaceutical Section (ASA BIOP) has been reviewing statistical consideration…
Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects
Trang Quynh Nguyen, Elizabeth A. Stuart, Daniel O. Scharfstein +1
An important strategy for identifying principal causal effects, which are often used in settings with noncompliance, is to invoke the principal ignorability (PI) assumption. As PI…
Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times
Bonnie B. Smith, Yujing Gao, Shu Yang +3
Many trials are designed to collect outcomes at or around pre-specified times after randomization. If there is variability in the times when participants are actually assessed, thi…
Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes
Jaron J. R. Lee, Agatha S. Mallett, Ilya Shpitser +3
Scharfstein et al. (2021) developed a sensitivity analysis model for analyzing randomized trials with repeatedly measured binary outcomes that are subject to nonmonotone missingnes…
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy +3
Establishing cause-effect relationships from observational data often relies on untestable assumptions. It is crucial to know whether, and to what extent, the conclusions drawn fro…
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…