3 papers
stat.ME2025
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…
stat.ME2024
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…
stat.ME2024
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…