Treatment comparisons using a measurement during follow-up and a right-censored time-to-event outcome

In clinical trials, the comparison between treatment arms of a measurement is often complicated by an event such as death or progression that can make this measurement irrelevant or difficult to perform. In this article, an approach is proposed to compare treatment arms using the net treatment benefit or the win ratio. A more favorable outcome (win) for the experimental arm is defined as the event of (1) a longer time to event for a patient in the experimental arm compared to a patient from the control arm until a prespecified restriction time ϵ or (2) a more favorable outcome with respect to the measurement during follow-up for a patient from the experimental arm and the time to event greater than ϵ for both patients. An estimator is proposed. A simulation study showed approximately no bias. The methodology is illustrated using a leukemia trial.

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Publication Details

Journal
Statistical Methods in Medical Research
Published
2026-10-15
DOI
https://doi.org/10.1177/09622802261498390
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

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article

Treatment comparisons using a measurement during follow-up and a right-censored time-to-event outcome

Michal Kiciński
Statistical Methods in Medical Research
Statistical Methods in Clinical Trials
article

Treatment comparisons using a measurement during follow-up and a right-censored time-to-event outcome

Michal Kiciński
article en

Abstract

In clinical trials, the comparison between treatment arms of a measurement is often complicated by an event such as death or progression that can make this measurement irrelevant or difficult to perform. In this article, an approach is proposed to compare treatment arms using the net treatment benefit or the win ratio. A more favorable outcome (win) for the experimental arm is defined as the event of (1) a longer time to event for a patient in the experimental arm compared to a patient from the control arm until a prespecified restriction time ϵ or (2) a more favorable outcome with respect to the measurement during follow-up for a patient from the experimental arm and the time to event greater than ϵ for both patients. An estimator is proposed. A simulation study showed approximately no bias. The methodology is illustrated using a leukemia trial.

Statistical Methods in Medical Research
European Organisation for Research and Treatment of Cancer (NL)
Innoviris
Good health and well-being
Openalex Percentile: Top 12%
Statistical Methods in Clinical Trials
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