主 题：Analysis Methods of Survival Data with Covariate Measurement Error
主讲人：Grace Y. Yi教授
主持人：林华珍教授
时 间：2014年4月29日下午3:00-4:00
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：
Grace Y. Yi，加拿大滑铁卢大学教授。2010年获得CRM-SSC Prize，2013年荣获Elected member of the International Statistical Institute。她是《The Canadian Statistics Journal》及《The Journal of Applied Probability and Statistic》杂志副主编，是美国统计学会、加拿大统计学会、生物识别技术协会，泛华统计学会的fellow。已发表论文60多篇，其中国际统计学排名前五的有10篇。
内容提要：
Covariate measurement error has attracted extensive interest in survival analysis. Since Prentice (1982), a large number of inference methods have been developed to handle error-contaminated data, and most methods are addressed to proportional hazards models. In contrast to proportional hazards models, additive hazards models offer a flexible alternative to delineate survival data. However, there is relatively less research on measurement error effects under such models, although some authors investigated this problem. In this talk, I will discuss several methods to correct for measurement error effects under additive hazards models. These methods will be justified both theoretically and empirically.
