学术报告

题      目： From Conditional Quantile Regression to Marginal Quantile Estimation with Applications to Missing Data and Causal Inference

报  告  人：马慧娟   副教授  (邀请人：张旭 )

                                     华东师范大学

时      间：4月21日  15：00-16：00

地     点：数科院东楼401

报告人简介:

       马慧娟，中国科技大学博士，美国埃默里大学博士后，现为华东师范大学统计学院副教授。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 Biometrika, Biometrics, Journal of Business & Economic Statistics, Statistica Sinica等期刊发表论文二十余篇。曾主持国家自然科学基金青年项目一项和上海市浦江人才项目一项。

摘      要：

       To enhance the estimate of the marginal outcome distribution, the conditional distribution of an outcome variable given covariates can be used. In this article, we propose two novel marginal quantile and mean estimation approaches through conditional quantile regression when some of the outcomes are missing at random. The first approach doesn't require the choice of a propensity score. The second is double robust and consistent, and extensive simulation studies demonstrate its utility.