应beat365官方网站的邀请，加拿大女皇大学数学与统计系和公共健康科学系终身教授涂冬生博士将于近日访问我校，并做学术报告。

        时间：6月16日（周一）早10:00 
        地点：理科楼122室  
       报告题目：A Bayesian approach for identification and assessment of biomarkers predictive of cancer treatment 
 

        报告摘要：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 practise, 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.