主 题：Statistical Analysis of Mixed Recurrent Event and Panel Count Data
主讲人：Prof. ( Tony)Jianguo Sun
主持人：林华珍教授
时 间：2015年3月30日下午3：00-4：00
地 点：通博楼B座212学术会议室
主办单位：统计研究中心 统计学院 科研处
主讲人简介：
( Tony)Jianguo Sun 密苏里大学统计系教授，中组部****获得者。目前是美国统计协会的Fellow，数理统计协会的Fellow，国际统计协会的Elected Member。获取资助项目19项，累计金额314余万美元。发表论文124篇，其中在JASA、JRSS(B)、Biometrics等权威统计期刊发表文章10多篇，出版专著4本。
内容提要：
Event history studies occur in many fields including economics, medical studies, and social science. In such studies concerning some recurrent events, two types of data have been extensively discussed in the literature. One is recurrent event data that arise if study subjects are monitored or observed continuously. In this case, the observed information provides the times of all occurrences of the recurrent events of interest. The other is panel count data, which occur if the subjects are monitored or observed only periodically. This can happen if the continuous observation is too expensive or not practical, and in this case, only the numbers of occurrences of the events between subsequent observation times are available. In this talk, we discuss a third type of data, which is a mixture of recurrent event and panel count data and for which there exists little literature.
