Primary Submission Category: Randomized Studies
Rothman sufficient cause urn analysis of the truncation by death problem
Authors: Jaffer Zaidi,
Presenting Author: Jaffer Zaidi*
The analysis of causal effects when the outcome of interest is possibly truncated by death has a long history in statistics. The survivor average causal effect is commonly identified with more assumptions than those guaranteed by the design of a randomized clinical trial. This paper demonstrates that individual level causal effects in the `always survivor’ principal stratum can be identified with no stronger identification assumptions than randomization. Our methods are applied to randomized clinical trials in oncology, HIV maternal-to child transmission, and severe Twin-to-Twin transfusion syndrome.