主題：A Bayesian approach for identification and assessment of biomarkers predictive of cancer treatment
主講人：涂冬生 教授
時(shí)間：2014年3月4日（周二）下午16:00
地點(diǎn)：北院卓遠(yuǎn)樓305
主辦單位：統(tǒng)計(jì)與數(shù)學(xué)學(xué)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.
涂冬生教授簡介：
加拿大女王大學(xué)(Queen’s University)腫瘤研究所資深生物統(tǒng)計(jì)師，該校社區(qū)衛(wèi)生與流行病系和數(shù)學(xué)與統(tǒng)計(jì)系（終身）正教授,。在應(yīng)用方面，主要從事腫瘤臨床實(shí)驗(yàn)的設(shè)計(jì),，管理,，和統(tǒng)計(jì)分析。統(tǒng)計(jì)理論和方法方面的研究方向包括非參數(shù)分析,，生存分析,、再抽樣方法等,。出版專著 1 部,，在Biometrika, Statistics in Medicine, New England Journal of Medicine等期刊上發(fā)表論文 120 余篇，并應(yīng)邀在《生物藥品統(tǒng)計(jì)百科全書》上撰寫三篇綜述,。
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