Time: 10:00-11:00am, July. 12th, 2019, Friday
Venue: RoomA1514, Science Building, North Zhongshan Road Campus
Spreker: Professor Wenbin Lu, North Carolina State University
Title 1: On Testing Qualitative Treatment Effects
Abstract: Precision medicine is an emerging medical paradigm that focuses on finding the most effective treatment strategy tailored for individual patients. In the literature, most of the existing works focused on estimating the optimal treatment regime. However, there has been less attention devoted to hypothesis testing regarding the optimal treatment regime. In this talk, I will present several nonparametric tests for the existence of qualitative treatment effects, which include (1) Testing the conditional qualitative treatment effects (CQTE) of a set of variables given another set of variables. This plays an important role for assessing the incremental value of a set of new variables in optimal treatment decision making conditional on an existing set of prescriptive variables. (2) Sparse projected tests for overall qualitative treatment effects (OQTE) with high-dimensional predictors. Both empirical and theoretical properties of the proposed methods will be discussed.
Time: 14:30-15:30pm, July. 12th, 2019, Friday
Venue: RoomA1514, Science Building, North Zhongshan Road Campus
Title 2: Testing and Estimation of Social Network Dependence with Time to Event Data
Abstract: Studying social network dependence is an emerging research area. In this talk, I will introduce two models for studying social network dependence with time-to-event data. First, I will present a latent Cox model with contextual effects, which models the susceptibility of a user to the influence of his or her friends. Both testing and estimation of the social network dependence will be discussed. Second, I will present a class of conditional survival models for studying the contagion-based social network dependence. The associated nonparametric maximum likelihood estimation will be discussed. Simulations and applications to a mobile game data will be presented to demonstrate the performance of the proposed methods.
Speaker’s Bio：Lu Wenbin 教授，本科毕业于北京大学，硕士和博士毕业于美国哥伦比亚大学。2003—2009年为美国北卡罗来纳州立大学助理教授，2009—2015年为美国北卡罗来纳州立大学副教授，2015—至今为美国北卡罗来纳州立大学教授。在包括统计学顶级杂志Annals of Statistics, Journal of the American Statistical Association，Journal of the Royal Statistical Society, Series B和Biometrika等杂志上发表论文八十余篇。
