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【3月4日】统计学学术讲座

发布日期:2014-03-03点击: 发布人:统数学院


主题:A Bayesian approach for identification and assessment of biomarkers predictive of cancer treatment

主讲人:涂冬生 教授

时间:2014年3月4日(周二)下午16:00

地点:北院卓远楼305

主办单位:统计与数学学院

摘要:Identification and assessment of biomarkers which can be used to predict the response of a patient to a specific treatment is a very active research area of health sciences. The significance of the biomarker is usually assessed by a test of interaction between the biomarker and treatment. Many biomarkers are measured on a continuous scale but in clinical practice, it is preferred patients can be classified into two categories such as biomarker positive and negative based on a cutpoint. In this talk, I will present a Bayesian approach my colleagues and I developed recently which can provide statistical inference simultaneously on the cutpoint and biomarker-treatment interaction.


涂冬生教授简介:
加拿大女王大学(Queen’s University)肿瘤研究所资深生物统计师,该校社区卫生与流行病系和数学与统计系(终身)正教授。在应用方面,主要从事肿瘤临床实验的设计,管理,和统计分析。统计理论和方法方面的研究方向包括非参数分析,生存分析、再抽样方法等。出版专著 1 部,在Biometrika, Statistics in Medicine, New England Journal of Medicine等期刊上发表论文 120 余篇,并应邀在《生物药品统计百科全书》上撰写三篇综述。

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