6月23日刘玉峰(University of North Carolina at Chapel Hill)报告
 
  发布时间: 2017-06-22  
 




学术报告


报告题目: Statistical Learning for Individualized Treatment Rules

报 告 人:刘玉峰 教授

University of North Carolina at Chapel Hill

时    间:623(星期五)上午9:00

地    点:统计研究院426教室

摘    要:Due to heterogeneity of many chronic diseases, precise personalized medicine, also known as precision medicine, has drawn increasing attentions in the scientic community. One main goal of precision medicine is to develop the most effective tailored therapy for each individual patient. To that end, one needs to incorporate individual characteristics to detect a proper individual treatment rule, by which suitable decisions on treatment assignments can be made to optimize patients' clinical outcome. In this talk, I will present new statistical learning techniques which directly target the optimal individual treatment rule. Both binary and multi-arm treatments are considered. Theoretical and numerical comparisons with several existing methods will be presented to demonstrate the effectiveness of the proposed methods.



‍‍欢迎广大师生参加!

统计研究院

2017615


 
地址:天津市南开区卫津路94号,邮编:300071,电话(传真)86-22-23501103  邮箱:stat@nankai.edu.cn
您是自01/01/2014的第
位访客 南开大学信息化建设与管理办公室设计维护 津教备0061号 津ICP备12003308号-1