Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands

Regarding death as an intercurrent event in the process of defining the estimand for the trial will help clarify the choice of suitable estimators. When choosing the estimators, it is important to consider the assumptions required by the estimators as well as their plausibility given the setting of the trial.

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Publication Details

Journal
Clinical Trials
Published
2025-10-04
DOI
https://doi.org/10.1177/17407745251360645
Citations
1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
3.13
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article

Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands

Peter Hoskin, Brennan C Kahan, Andre Lopes, Ian R. White et al.
1 citations
Clinical Trials
Health Systems, Economic Evaluations, Quality of Life
3.13
article

Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands

Peter Hoskin, Brennan C Kahan, Andre Lopes, Ian R. White, Tra My Pham, Memuna Rashid
article en
1 citations

Abstract

Regarding death as an intercurrent event in the process of defining the estimand for the trial will help clarify the choice of suitable estimators. When choosing the estimators, it is important to consider the assumptions required by the estimators as well as their plausibility given the setting of the trial.

Clinical TrialsVol. 22(6)
Cancer Research UK (GB), University of Manchester (GB), MRC Clinical Trials Unit at UCL (GB), Mount Vernon Cancer Centre (GB), Cancer Research UK Manchester Institute (GB), CRUK Lung Cancer Centre of Excellence (GB), University College London (GB)
Openalex Percentile: Top 6%
Health Systems, Economic Evaluations, Quality of Life
3.13
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