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Statistical Considerations and Challenges with Time-to-Event Analyses for Composite Endpoints in Clinical Trials
Kaiyi Chen1, Yu Du1, Yuxin Zhu2,3,4
1Global Statistical Science, Eli Lilly and Company, Indianapolis, Indiana, USA.
Therapeutic Innovation & Regulatory Science
|July 22, 2025
Summary
Composite endpoints in clinical trials can inflate statistical power but may obscure individual outcome effects. This study examines paradoxical results and the Cox model
Area of Science:
- Clinical Trials Methodology
- Statistical Analysis in Medicine
- Cardiovascular and Renal Outcomes Research
Background:
- Composite endpoints are frequently used in clinical research to increase statistical power and event rates.
- This strategy is common in cardiovascular and kidney outcome studies due to the low incidence of individual events.
- Regulatory guidance emphasizes evaluating each component of a composite endpoint for clinical relevance.
Purpose of the Study:
- To investigate controversies in interpreting hazard ratios from composite endpoints versus individual components.
- To analyze a paradoxical observation from the CLEAR outcome trials regarding treatment effects.
- To re-evaluate the suitability of the Cox proportional hazards model for composite endpoints.
Main Methods:
- Theoretical investigation of hazard ratio interpretation for composite endpoints.
- Simulation studies to assess the Cox proportional hazards model's performance.
- Analysis of data from the CLEAR outcome trials.
Main Results:
- A paradoxical scenario was identified where the composite endpoint showed a less favorable treatment effect than individual components.
- The study highlights potential misinterpretations of treatment effects when using composite endpoints.
- The re-evaluation questioned the universal suitability of the Cox model in certain composite endpoint scenarios.
Conclusions:
- Composite endpoints require careful interpretation, as they can mask differential effects of individual components.
- The standard application of the Cox proportional hazards model may need re-evaluation for composite endpoints exhibiting heterogeneity.
- Further methodological research is needed to ensure accurate and clinically meaningful analysis of composite endpoints.
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