A Bayesian approach for identification and assessment of biomarkers predictive of cancer treatment个人简介

被阅览数:次  发布时间:2014/04/23 16:05:24

主讲人: Dongsheng Tu教授
主讲人简介:
NCIC Clinical Trials Group, Cancer Research Institute, Queen’s University 
简介:
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.
时间: 2014年2月24日(周一)下午16:30-17:30
地点: 经济楼D座209室
期数: 厦门大学统计学高级系列讲座
主办单位: 厦门大学经济学院、厦门大学王亚南经济研究院
类型: 系列讲座

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