主题：Direct Likelihood Approach for Interval-Censored Competing Risks with Missing Failure Causes
主讲人：向黎明 新加坡南洋理工大学
主持人：刘晓玉 暨南大学
时间：2026年7月1日（周三）上午11:20-12:20
地点：暨南大学石牌校区经济学院（中惠楼）207室
摘要
Interval-censored competing risks data with unknown causes of failure frequently appear in clinical studies, yet traditional two-stage estimation methods often suffer from high computational costs and efficiency loss. This talk introduces a direct likelihood approach under a mixture model framework to address these challenges. By incorporating competing risks and missing event types into a single likelihood function, the proposed method utilizes sieve maximum likelihood estimation to streamline computation and enhance estimation efficiency. We establish the consistency and asymptotic normality of the resulting estimators,demonstrate the method’s finite-sample performance through comprehensive simulations, and illustrate its practical utility using data from an Alzheimer’s disease study.
主讲人简介
向黎明，新加坡南洋理工大学副教授，于2002年获得香港城市大学统计学博士学位。研究领域为生存分析、纵向数据和聚类数据等，具体包括半参数模型，带治愈部分的区间删失数据，半竞争风险模型及高维生存数据。担任Statistics in Medicine,Computational Statistics & Data Analysis等杂志编委，已在Statistical methods in Medical Research,Statistics in Medicine,Biometrics,Journal of Multivariate Analysis,Biometrical Journal, Computational Statistics and Data Analysis 等统计学期刊上发表多篇学术论文。
校对 |刘晓玉
责编 | 彭毅
初审 | 姜云卢
终审发布 | 何凌云
（来源：暨南大学经济学院微信公众号）
