biostudies-literatureDeng YFundamental Research Funds for the Central UniversitiesPrincess Margaret Cancer FoundationNational Natural Science Foundation of Chinae70215https://www.ebi.ac.uk/biostudies/studies/S-EPMC12330342biostudies-literatureUnknown44(18-19)Overall survival has been used as the primary endpoint for many randomized trials that aim to examine whether a new treatment is non-inferior to the standard treatment or placebo control. When a new treatment is indeed non-inferior in terms of survival, it may be important to assess other outcomes including health utility. However, analyzing health utility scores in a secondary analysis may have limited power since the primary objectives of the original study design may not include health utility. To comprehensively consider both survival and health utility, we developed a composite endpoint, HUS (Health Utility-adjusted Survival), which combines both survival and utility. HUS has been shown to be able to increase statistical power and potentially reduce the required sample size compared tStatistics in medicineHealth Utility Survival for Randomized Clinical Trials: Extensions and Statistical Properties.PMC1233034212371264CXTD14-0512171329Hao MHuang SHde Almeida JRXu WDeng YLiu GfalseHealth Utility Survival for Randomized Clinical Trials: Extensions and Statistical Properties.Overall survival has been used as the primary endpoint for many randomized trials that aim to examine whether a new treatment is non-inferior to the standard treatment or placebo control. When a new treatment is indeed non-inferior in terms of survival, it may be important to assess other outcomes including health utility. However, analyzing health utility scores in a secondary analysis may have limited power since the primary objectives of the original study design may not include health utility. To comprehensively consider both survival and health utility, we developed a composite endpoint, HUS (Health Utility-adjusted Survival), which combines both survival and utility. HUS has been shown to be able to increase statistical power and potentially reduce the required sample size compared t2025-01-01T00:00:00Z2025 Aug2026-04-13T08:18:18.082Z2026-04-07T13:29:45.651ZS-EPMC123303424077276410.1002/sim.70215