51 citations · 71 across the 13 of their papers we have counts for
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stat.ME2023
Bayesian principal stratification with longitudinal data and truncation by death
Giulio Grossi, Marco Mariani, Alessandra Mattei +1
In many causal studies, outcomes are censored by death, in the sense that they are neither observed nor defined for units who die. In such studies, the focus is usually on the stra…
stat.ME2023★ 2 cited
Principal stratification with continuous treatments and continuous post-treatment variables
Joseph Antonelli, Minxuan Wu, Fabrizia Mealli +2
Principal stratification (PS) is a commonly used approach for understanding the mechanisms through which a treatment affects an outcome. The goal of this work is to extend the PS f…