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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