讲座时间：2025年11月19日(周三)  15：30

地点： 综合楼615会议室

报告题目：Statistical Methods for the Identification of a Subset of Patients Who Benefit from a Cancer Treatment

报告人简介：  

Dongsheng Tu is a professor of biostatistics in the Department of Public Health Sciences and Department of Mathematics & Statistics at Queen’s University in Canada. He is also the Group Biostatistician in the Canadian Cancer Trials Group. He is responsible for the design, management, and analysis of clinical trials conducted by the group and also interested in the methodological research on statistical procedures for the design and analysis of cancer clinical trials. He has published more than 300 papers in medical journal such as New England Journal of Medicine, Lancet, JAMA and statistical journals such as Biometrika, Statistica Sinica, Statistics in Medicine with more than 54,000 total citations and an H-index of 90. He has been included in the Stanford/Elsevier World’s Top 2% of Scientists List of Career-Long Impact since 2021.

报告摘要： 

In recent years, many new treatments for various types of cancer have been developed and shown to improve the outcomes for cancer patients. Not all of the patients may, however, benefit from these treatments. Identification of a subset of patients who may benefit from a specific cancer treatment is an important research area in clinical cancer research. In this talk, I will present some background examples and review our recent work on the development of statistical methods for the identifying treatment-sensitive subsets.