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学术报告四十九:An Additive--Multiplicative Mean Residual Life Model for Right Censored Data

来源:数学与统计学院     作者:     时间:2018/6/12 16:47:11  0次
 

数学与统计学院学术报告[2018] 049

(高水平大学建设系列报告168)

报告题目: An Additive--Multiplicative Mean Residual Life Model for Right Censored Data

报告人:    蔡敬衡副教授(中山大学数学学院)

报告时间:2018621日下午15:00-15:45

报告地点:科技楼501

报告邀请人:何海金                                                        

报告内容:Many studies have focused on determining the effect of body mass index (BMI) on the mortality in different cohorts. In this article, we propose an additive-multiplicative mean residual life (MRL) model to assess the effects of BMI and other risk factors on the MRL function of survival time in a cohort of Chinese type 2 diabetic patients. The proposed model can simultaneously manage additive and multiplicative risk factors and provide a comprehensible interpretation of their effects on the MRL function of interest. We develop an estimation procedure through pseudo partial score equations to obtain parameter estimates. We establish the asymptotic properties of the proposed estimators and conduct simulations to demonstrate the performance of the proposed method. The application of the procedure to a study on the life expectancy of type 2 diabetic patients reveals new insights into the extension of the life expectancy of such patients.

报告人简历:蔡敬衡,中山大学数学学院统计系副教授。主要研究贝叶斯分析、含潜变量的复杂模型建模与分析,在PsychometrikaBayesian AnalysisStatistical Methods in Medical Research等杂志发表十多篇论文。

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                                                   数学与统计学院

                                                  20180612

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