报告题目：Recent developments of joint models in longitudinal studies
主 讲人：加拿大不列颠哥伦比亚大学 吴浪 教授
时 间：2026年6月20日13:30--15:00
地 点：9教132会议室
报告摘要：
Joint models have been an active research area in recent years, such as joint models of longitudinal data and survival data. In this talk, I will review some most recent joint models we have developed, including joint models of different longitudinal processes, joint models of mean and variance processes, and estimating change points in longitudinal data. We focus on nonlinear mixed effects models and likelihood methods for statistical inference. Based on simulation studies, these joint models perform better than separate models in the sense that they show less biased and more efficient statistical inference. We illustrate these models and methods in vaccine data with interesting findings.
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身教授，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 American Statistical 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。
欢迎感兴趣的老师和同学参加！