报告题目：Joint models of longitudinal and survival data with censoring and outliers

主 讲 人：加拿大不列颠哥伦比亚大学  吴浪   教授

时   间：2024年6月6日9:00-11:00

地   点：科技馆二楼扇形会议室

报告摘要：

  In a survival model with a time-dependent covariate, the covariate may be left censored due to a lower detection limit and its observed values may contain outliers. Motivated from an HIV vaccine study, we propose a robust method for joint models of longitudinal and survival data, where the outliers in longitudinal data are addressed using a multivariate t-distribution for b-outliers and using an M-estimator for e-outliers. We also propose a computationally efficient method for approximate likelihood inference. The proposed method is evaluated by simulation studies. Based on the proposed models and method, we analyze the HIV vaccine data and find a strong association between longitudinal biomarkers and the risk of HIV infection.。

主讲人简介

  吴浪，教授，博士，博士生导师。现任加拿大不列颠哥伦比亚大学统计系终生教授，加拿大统计研究所副所长，“加拿大统计杂志”等副主编。在Journal of AmericanStatistical Association, Biometrics, 等杂志上发表80多篇论文。连续20多年获得加拿大自然科学基金。