Causal inference with outcomes truncated by death in multiarm studies

It is challenging to evaluate causal effects when the outcomes of interest suffer from truncation‐by‐death in many clinical studies; that is, outcomes cannot be observed if patients die before the time of measurement. To address this problem, it is common to consider average treatment effects by pri...

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Veröffentlicht in:Biometrics 2023-03, Vol.79 (1), p.502-513
Hauptverfasser: Luo, Shanshan, Li, Wei, He, Yangbo
Format: Artikel
Sprache:eng
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