主 题：A Bayesian approach for identification andassessment of biomarkers predictive of cancer treatment
主讲人：Queen’s University 涂冬生教授
主持人：林华珍教授
时 间：2014年3月13日下午4:30-5:30
地 点：通博楼B座212学术会议室
主办单位：统计学院 统计研究中心 科研处
主讲人简介：
涂冬生，加拿大Queen’s University公共卫生系教授，1994年于University of South Carolina取得博士学位。在国内外主流期刊发表论文164篇，累计引用22738次，单篇文章最高引用4260次，合著专著《The Jackknife and Bootstrap》一书，参与专著撰写7部。在2006年荣获International Society for Quality of Life ResearchOutstanding Article of the Year Award，参与或主持基金项目共39项，累积资助经费数千万美元。
内容提要：
Identification and assessment of biomarkerswhich can be used to predict the response of a patient to a specific treatmentis a very active research area of health sciences. The significance of the biomarker is usuallyassessed by a test of interaction between the biomarker and treatment. Many biomarkers are measured on a continuousscale but in clinical practice, it is preferred patients can be classified intotwo categories such as biomarkerpositive and negative based on a outpoint.In this talk, I will present a Bayesian approach my colleagues and Ideveloped recently which can provide statistical inference simultaneously onthe cu point and biomarker-treatment interaction.
