学术报告：朱文圣 云南大学

主讲人：朱文圣 云南大学

题 目：A Robust Covariate-Balancing Method for Estim-

ating Individualized Treatment with Censored Data

时间：2025年10月18日 11:15-12:00

地点：新校园学术报告厅

摘要：One of the most essential aspects of precision medicine is the identification of optimal individualized treatment regimen, which recommends treatment decisions to maximize patients expected survival time based on their individual characteristics with censored data. Typically, the expected survival time is required to be estimated first, which is usually based on the posited weighting models (propensity score model and censoring model) or the posited outcome model. However, if any of the above models is misspecified, the estimated treatment regimen is not reliable. In this article, we consider the contrast value function defined for survival analysis, and propose two robust covariate-balancing estimators of the contrast value function by balancing the covariates of patients through censoring probability and survival function of censoring time in the weights, respectively. Theoretical results prove that the proposed estimators are doubly robust, that is, they are consistent if either the propensity score model and the censoring model are correctly specified simultaneously or the outcome model is correctly specified. The asymptotic normality of the estimators is also established under standard regularity. A large number of simulations show the superiority of our methods over the existing methods. Application of the proposed methods is illustrated through analysis of data from the China Rural Hypertension Control Project (CRHCP).

报告人简介：朱文圣，云南大学VSport教授、博士生导师。2006年博士毕业于东北师范大学，2008-2010年在耶鲁大学做博士后研究，2015-2017年访问北卡罗莱纳大学教堂山分校。研究方向为生物统计学及统计机器学习，在JASA, Biometrika, Statistica Sinica，Science China-Mathematics，The Lancet等杂志发表学术论文多篇，主持多项国家级科研项目。中国现场统计研究会贝叶斯统计分会理事长、中国统计教育学会副会长，全国工业统计学教学研究会副会长。国家级一流本科课程负责人。