Contents：

主講人：戴以誠 博士(國立政治大學統計學系)
題 目：Estimand-based Inference for Treatment Effects under Nonproportional Hazards with Right-Censored Data
日 期：115年4月14日（星期二）
時 間：下午13:10 ~ 15:00
地 點：科學館S433
摘要Abstract:
With survival outcome data, the hazard ratio is traditionally considered as the gold standard to quantify the treatment effects. However, the advancements in immunotherapy for clinical oncology challenge the proportional hazards assumption, making the interpretation of hazard ratios questionable. While restricted mean survival time has emerged as an alternative, and other model-based estimation and testing methods have been proposed, there is still no consensus on the best approach to summarize the treatment effect under nonproportional hazards. In this talk, I will discuss the issues associated with nonproportional hazards in treatment effect quantification and introduce a novel two-sample treatment effect estimand to assess the relative performance of two groups over time. Our method includes a graphical tool to trace treatment progression and align relative changes in hazard functions, depicting the instantaneous effects of treatments. I will also discuss several recent developments related to this work.
備 註：本業務與聯合國永續發展目標SDG4優質教育連結
ESG+AI=∞ AI+SDGs=∞

Time：

2026/04/14 13:00 ~ 2026/04/14 15:00

Registration period：

2026/04/13 08:00 ~ 2026/04/14 15:00

Location：

科學館 S433