学术前沿讲座-Impact of Missing Data on Estimation of Pathways of Productivity Loss of Injured Workers

报告题目

Impact of Missing Data on Estimation of Pathways of Productivity Loss of Injured Workers

报告人（单位）

Depeng Jiang

Associate Professor, Department of Community Health Sciences

Director, the George Fay Yee Centre for Health Care InnovationUniversity of Manitoba, Winnipeg, Canada

点评人（单位）

王海燕（东南大学）

点评人（单位）

时间地点

时间：2019年6月24日（周一）下午15:30

地点：九龙湖经管楼B201

报告内容摘要

报告内容：

The presentation serves as an illustration of the impact of missing data on estimation of the course of recovery for injured workers for shoulder and elbow disorders. It is important to look at changes in work-related outcomes for the injured workers, such as the likelihood of returning to work, any work accommodations needed to allow workers to remain at work, as well as any disability or loss in productivity that was experienced while at work.  We proposed growth mixture model approach to deal with the missing data and to show how the new approaches can overcome the problems of current available statistical methods and help to identify the distinct trajectories of worker productivity loss and the associated prognostic factors.

报告人简介：

蒋德鹏教授于2002年获东南大学管理科学与工程博士学位，先后赴美国霍普金斯大学、加拿大约克大学进行博士后研究。现为加拿大曼尼托巴大学公共卫生学系终身教授，从事生物统计学的教学和科研工作，兼任曼尼托巴大学统计咨询中心主任。同时，他还是东南大学、吉林大学和南京林业大学等多所高校的客座教授。蒋教授在生物统计领域有较深的造诣，对大数据建模、纵向数据分析和混合统计模型有着特别的兴趣和深入的研究。多年来蒋教授为来自许多学科的研究者提供统计咨询，指导硕士和博士研究生，积累了丰富的统计咨询经验。目前已发表论文七十余篇。