On Assessing Overall Survival (OS) in Oncology Studies

2025/10/08 by Jason C. Hsu, Hsu, Jason C.
Medicine · #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME) #Radiomics and Machine Learning in Medical Imaging

paper · pdf · doi:10.48550/arxiv.2510.07122

openalex publication_date 2025/10/08 · openalex created_date 2025/10/18 · openalex updated_date 2026/07/28

Abstract

In assessing Overall Survival (OS) in oncology studies, it is essential for the efficacy measure to be Logic-respecting, for otherwise patients may be incorrectly targeted. This paper explains, while Time Ratio (TR) is Logic-respecting, Hazard Ratio (HR) is not Logic-respecting. With Time Ratio (TR) being recommended, a smooth transitioning strategy is suggested. The conclusion states: Logicality requires, and Subgroup Mixable Estimation (SME) delivers, an efficacy assessment for the overall population within the range of minimum and maximum efficacy in the subgroups, no matter how outcome is measured, whichever logic-respecting efficacy measure is chosen, the same efficacy assessment regardless of how subgroups are stratified.

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