学术活动
统计学前沿报告:A Bayesian approach for identification and assessment of predictive biomarker
2014-06-10
来源:科技处 点击次数:主讲人:Prof. Dongsheng Tu(Queen’s University, Canada)
时 间:2014年6月10日(周二)16:00-17:00
地 点:必赢76net线路官网北一区文科楼 205 教室
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 cupoint and biomarker-treatment interaction.