Meta-analytic evaluation of surrogate endpoints at multiple time points in randomized controlled trials with time-to-event endpoints

Our new meta-analytic model to evaluate trial-level surrogacy using the difference in RMST as the measure of treatment effect does not require the proportional hazard assumption, captures the strength of surrogacy at multiple time points, and can evaluate surrogacy with a time lag between surrogate and true endpoints. The proposed method enhances the rigor and practicality of surrogate endpoint validation in time-to-event settings.

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Publication Details

Journal
Clinical Trials
Published
2025-10-16
DOI
https://doi.org/10.1177/17407745251377734
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Meta-analytic evaluation of surrogate endpoints at multiple time points in randomized controlled trials with time-to-event endpoints

Ludovic Trinquart, Xiaoyu Tang
Clinical Trials
Statistical Methods in Clinical Trials
article

Meta-analytic evaluation of surrogate endpoints at multiple time points in randomized controlled trials with time-to-event endpoints

Ludovic Trinquart, Xiaoyu Tang
article en

Abstract

Our new meta-analytic model to evaluate trial-level surrogacy using the difference in RMST as the measure of treatment effect does not require the proportional hazard assumption, captures the strength of surrogacy at multiple time points, and can evaluate surrogacy with a time lag between surrogate and true endpoints. The proposed method enhances the rigor and practicality of surrogate endpoint validation in time-to-event settings.

Clinical TrialsVol. 23(1)
Boston University (US), Tufts University (US), Tufts Medical Center (US), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 73%
Statistical Methods in Clinical Trials
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Meta-analytic evaluation of surrogate endpoints at multiple time points in randomized controlled trials with time-to-event endpoints — Ludovic Trinquart, Xiaoyu Tang · Clinical Trials (2025) | TGRS Research Map | TGRS