Testing Prioritized Composite Endpoint with Multiple Follow-up Time Examinations
Yunhan Mou, Haitao Pan, Yu Jiang, Yuan Huang

TL;DR
This paper introduces ProFS, an adaptation of the Finkelstein-Schoenfeld test for composite endpoints that accounts for varying treatment effects over time, enhancing power in clinical trials with multiple follow-up points.
Contribution
The paper proposes ProFS, a novel method that incorporates progressive follow-up times into the FS test, allowing for joint evaluation of treatment effects at multiple time points and supporting group sequential monitoring.
Findings
ProFS increases statistical power in short-term effect scenarios.
ProFS performs better than traditional FS in simulations.
Application to SPRINT trial demonstrates improved performance.
Abstract
Composite endpoints are widely used in cardiovascular clinical trials. In recent years, hierarchical composite endpoints-particularly the win ratio approach and its predecessor, the Finkelstein-Schoenfeld (FS) test, also known as the unmatched win ratio test-have gained popularity. These methods involve comparing individuals across multiple endpoints, ranked by priority, with mortality typically assigned the highest priority in many applications. However, these methods have not accounted for varying treatment effects, known as non-constant hazards over time in the context of survival analysis. To address this limitation, we propose an adaptation of the FS test that incorporates progressive follow-up time, which we will refer to as ProFS. This proposed test can jointly evaluate treatment effects at various follow-up time points by incorporating the maximum of several FS test statistics…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Advanced Causal Inference Techniques · Statistical Methods and Bayesian Inference
