Joint Analysis of Longitudinal Data with Informative Observation and Terminal Event Times
| 主讲人 |
孙六全教授 |
简介 |
<p><span style="font-size: small;"> <span lang="EN-US">In many longitudinal studies, the response process is often correlated with observation times. Also, there may</span><span lang="EN-US"> </span><span lang="EN-US">exist</span><span lang="EN-US"> </span><span lang="EN-US">a dependent terminal event such as death that stops the follow-up. In this talk,</span><span lang="EN-US"> </span><span lang="EN-US">we</span><span lang="EN-US">discuss</span><span lang="EN-US"> </span><span lang="EN-US">some </span><span lang="EN-US">joint model</span><span lang="EN-US">s</span><span lang="EN-US"> for analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the proposed estimators are derived. The finite sample properties of the proposed estimators are examined</span><span lang="EN-US"> </span><span lang="EN-US">through simulation studies.</span><span lang="EN-US"> Some</span><span lang="EN-US"> application</span><span lang="EN-US">s</span><span lang="EN-US"> are provided.</span></span></p> |
| 时间 |
2016-10-14(Friday)16:40-18:00 |
地点 |
经济楼N302 |
| 讲座语言 |
中文 |
主办单位 |
SOE&WISE |
| 承办单位 |
统计系 |
类型 |
系列讲座 |
| 联系人信息 |
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主持人 |
钟威副教授 |
| 专题网站 |
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专题 |
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| 主讲人简介 |
<p><span style="font-family: 宋体;">孙六全</span><span style="font-family: 宋体;">，中国科学院数学与系统科学研究院，创新基地研究员、博士生导师</span><span lang="EN-US">,</span><span style="font-family: 宋体;">概率室主任</span></p>
<p class="MsoNormal"><span style="font-family:宋体;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:宋体;mso-fareast-theme-font: minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin">个人主页：</span><a href="http://www.amt.ac.cn/member/sunliuquan/" style="font-family: Calibri, sans-serif; font-size: 10.5pt;">http://www.amt.ac.cn/member/sunliuquan/</a></p> |
期数 |
厦门大学高级计量经济学与统计学系列讲座2016秋季学期第二讲（总第85讲） |
