报告时间：2026年6月18日（周四）下午 15:30-16:30
报告地点：苏州大学天赐庄校区精正楼306
报告人：马慧娟 副教授，华东师范大学
报告摘要：
Quantile treatment effect (QTE) is increasingly recognized as an essential tool in understanding the heterogeneous impact of interventions across different segments of the outcome distribution and providing a richer perspective beyond average treatment effect. Despite its importance, obtaining precise QTE estimates can be challenging in randomized clinical trials with limited sample sizes. External controls have grown in popularity in recent years as a tool to empower the clinical trials. In this paper, we propose a novel approach that combines clinical trial data with external controls to enhance the efficiency of QTE estimation. By leveraging external controls, we first derive the efficient influence function of the QTE estimand and then propose a sieve-based weighted M-estimator that achieves the semiparametric efficiency bound. The proposed estimator is shown to be more efficient than the one solely using trial data. We also extend the proposed framework to other QTE estimands defined in different populations and provide an alternative approach for more efficient estimation of average treatment effects. Extensive simulation studies and application to the job training data demonstrate the practical utility of the proposed methods.
报告人简介：
马慧娟，华东师范大学统计博彩平台副教授。主要研究方向包括生存分析，分位数回归，因果推断等。在统计学期刊 Journal of the American Statistical Association, Biometrika, Biometrics, Journal of Business & Economic Statistics, Statistica Sinica等期刊发表论文二十余篇。先后主持上海市浦江人才项目，国家自然科学基金青年项目、面上项目和重点项目子课题等。参与教育部学科突破先导项目、国家自然科学基金重点项目、科技部重点研发项目和上海市科委重点项目等。
邀请人：徐礼柏