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.
Authors
- Ludovic Trinquart (ORCID: https://orcid.org/0000-0002-3028-4900)
- Xiaoyu Tang (ORCID: https://orcid.org/0000-0002-7236-3201)
Institutions
- Boston University (US)
- Tufts University (US)
- Tufts Medical Center (US)
- Xi’an Jiaotong-Liverpool University (CN)
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
- Field-Weighted Citation Impact
- 0.00