教师队伍

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李伟

职 称: 副教授


职 务: 无


电子邮箱: weilistat@ruc.edu.cn

教育经历

2013.9-2018.6 博士,数学科学学院,北京大学

2015.9-2016.9 访问学者,生物统计系,美国西雅图华盛顿大学

2009.9-2013.6 学士,数学科学学院,南开大学


工作经历

2022.8-至今,副教授,统计学院,中国人民大学

2020.6-2022.7,讲师,统计学院,中国人民大学

2018.7-2020.6,博雅博士后,数学科学学院,北京大学


兼任职务

2022-至今,中国现场统计研究会因果推断分会副秘书长

2023-至今,北京生物医学统计与数据管理研究会理事


基金项目

北京市自然科学基金面上项目,2023-2025,主持,在研

国家重点研发计划青年科学家项目,2022.12-2027.11,子课题主持,在研

全国统计科学研究重点项目,2022-2024,主持,在研

国家自然科学基金青年项目,2022-2024,主持,在研

中国人民大学新教师启动基金项目,2021-2023,主持,在研

中国博士后科学基金面上项目,2019-2020,主持,已结项


学术奖励

国家高层次人才计划青年学者

中国人民大学吴玉章青年学者(2024-至今)

中国人民大学优秀科研成果奖(2021)


开设课程

数理统计(2021-至今)

生物统计(2021-至今)

因果推断(2022-至今)

临床试验设计与分析(2022-至今)

统计学(2021)


研究方向

因果推断,缺失数据,测量误差,高维数据,生物统计。


论文成果

● Li Wei, Luo Shanshan, and Xu Wangli (2023). Calibrated regression estimation using empirical likelihood under data fusion. Computational Statistics & Data Analysis, in press.

● Li Wei, Lu Zitong, Jia Jinzhu, Xie Min, and Geng Zhi (2023). Retrospective causal inference with multiple effect variables. Biometrika, in press.

● Li Wei, Luo Shanshan, He Yangbo, and Geng Zhi (2023). Subgroup analysis using Bernoulli-gated hierarchical mixtures of experts models. Statistics in Medicine, in press.

● Li Wei, Miao Wang, and Tchetgen Tchetgen Eric (2023). Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution. Journal of the Royal Statistical Society: Series B, 85(3): 913-935.

● Lu Zitong, Geng Zhi, Li Wei, Zhu Shengyu and Jia Jinzhu (2023). Evaluating causes of effects by posterior effects of causes. Biometrika, 110(2): 449-465.

● Zhang Jeffrey, Li Wei, Miao Wang, and Tchetgen Tchetgen Eric (2023). Proximal causal inference without uniqueness assumptions. Statistics & Probability Letters, 198: 109836.

● Luo Shanshan, Li Wei* and He Yangbo (2023). Causal inference with outcomes truncated by death in multiarm studies. Biometrics, 79(1): 502-513.

● Miao Wang, Li Wei, Hu Wenjie, Wang Ruoyu, Geng Zhi (2022). Invited Commentary: Estimation and bounds under data fusion. American Journal of Epidemiology, 191(4): 674-678.

● Liu Lan, Li Wei*, Su Zhihua, Cook Dennis, Vizioli Luca and Yacoub Essa (2022). Efficient estimation via envelope chain in magnetic resonance imaging-based studies. Scandinavian Journal of Statistics, 49(2): 481-501.

● Li Wei, Geng Zhi and Zhou Xiao-Hua (2021). Causal mediation analysis with sure outcomes of random events model. Statistics in Medicine, 40(17): 3975-3989.

● Li Wei, Gu Yuwen, and Liu Lan (2020). Demystifying a class of multiply robust estimators. Biometrika, 107(4): 919-933.

● Fan Yanqin, Han Fang, Li Wei and Zhou Xiao-Hua (alphabetical order) (2020). On rank estimators in increasing dimensions. Journal of Econometrics, 214(2): 379-412.

● Li Wei and Lederer Johannes (2019). Tuning parameter calibration for l1-regularized logistic regression. Journal of Statistical Planning and Inference, 202: 80-98.

● Sheng Elisa, Li Wei, and Zhou Xiao-Hua (2019). Estimating causal effects of treatment in RCTs with provider and subject noncompliance. Statistics in Medicine, 38: 738-750.

● Li Wei, Jiang Zhichao, Geng Zhi, and Zhou Xiao-Hua (2018). Identification of causal effects with latent confounding and classical additive errors in treatment. Biometrical Journal, 60: 498-515.

● Li Wei and Zhou Xiao-Hua (2017). Identifiability and estimation of causal mediation effects with missing data. Statistics in Medicine, 36(25): 3948-3965.


* corresponding author