Design and Analysis of Clinical Trials with Restricted Mean Survival Time

March 27, 2024
4:00 pm to 6:00 pm
Hock Plaza CRTP Classroom 214

Event sponsored by:

Biostatistics and Bioinformatics
School of Medicine (SOM)

Contact:

Allison, Tasha

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Kaiyuan Hua

Speaker:

Kaiyuan Hua

Advisors: Xiaofei Wang, PhD and Hwanhee Hong, PhD

Title: Design and Analysis of Clinical Trials with Restricted Mean Survival Time

Abstract: Restricted mean survival time (RMST), a summary of survival time up to a pre-specified clinically relevant truncation time, is increasingly recognized as a measure for treatment effect in recent biomedical studies with time-to-event endpoints. The difference or ratio of RMST between two groups (e.g., treatment versus control) measures the relative treatment effect concerning a gain or loss of survival time. The RMST offers greater flexibility compared to the hazard ratio (HR), which is often estimated from the Cox proportional hazards model under the proportional hazards (PH) assumption. Due to delayed treatment effects or other biomedical reasons, the PH assumption is often violated in oncology and cardiovascular trials, leading to biased estimation and misleading interpretations of treatment effects. Compared to HR, RMST requires no PH assumption and offers a more straightforward interpretation of treatment effects.


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