教育背景

2013.09-2018.07，北京大学概率论与数理统计专业，理学博士学位

2009.09-2013.06，南开大学数学与应用数学专业，理学学士学位

 

访学经历

2015.09-2016.09，美国西雅图华盛顿老员工物统计系，访问学者

 

工作经历

2022.08至今，太阳成集团tyc122cc，副教授

2020.06-2022.08，太阳成集团tyc122cc，讲师

2018.07-2020.06，北京大学数学科学公司，博雅博士后

 

研究方向

因果推断、因果发现、缺失数据、生物统计

 

荣誉奖励

1. 国家高层次人才计划青年学者

2. 太阳成集团122cc官网入口优秀科研成果一等奖，2023

3. 太阳成集团122cc官网入口优秀科研成果奖，2021

 

科研项目

1. 国家自然科学基金面上项目，2025-2028，主持，在研

2. 北京市自然科学基金面上项目，2023-2025，主持，在研

3. 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

4. 全国统计科学研究重点项目，2022-2024，主持，已结项

5. 国家自然科学基金青年项目，2022-2024，主持，已结项

6. 太阳成集团122cc官网入口新教师启动基金项目，2021-2023，主持，已结项

7. 中国博士后科学基金面上项目，2019-2020，主持，已结项

 

科研发表

1. Zhang Chao, Geng Zhi, Li Wei, and Ding Peng (2025). Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes. Biometrika, in press.

2. Shan Jiawei, Wang Ting, Li Wei*, and Ai Chunrong (2025). Nonparametric estimation of path-specific effects in the presence of nonignorable missing covariates. Scandinavian Journal of Statistics, in press.

3. Wei Shaojie, He Qinpeng, Li Wei*, and Geng Zhi (2025). Multiply robust causal inference in the presence of an error-prone treatment. Statistical Methods in Medical Research, 34(7): 1314–1327.

4. Luo Shanshan, Shi Mengchen, Li Wei*, Wang Xueli, and Geng Zhi (2025). Efficiency-improved doubly robust estimation with non-confounding predictive covariates. Electronic Journal of Statistics, 19(2): 3723-3742.

5. Li Wei, Liu Yuan, Luo Shanshan, and Geng Zhi (2025). Causal inference with outcomes truncated by death and missing not at random. Statistics in Medicine, 44: e70126.

6. Luo Shanshan, Zhang Yechi, Li Wei*, and Geng Zhi (2025). Multiply robust estimation of causal effects using linked data. Computational Statistics & Data Analysis, 209: 108175.

7. Luo Shanshan, Min Jiaqi, Li Wei, Wang Xueli, and Geng Zhi (2025). A comparative analysis of different adjustment sets using propensity score based estimators. Computational Statistics & Data Analysis, 203: 108079.

8. Luo Shanshan, Li Wei*, Miao Wang, and He Yangbo* (2024). Identification and estimation of causal effects in the presence of confounded principal strata. Statistics in Medicine, 43(22): 4372-4387.

9. Ma Yuan, Lu Feng, Suo Luodan, Li Wei, … (2024). Effectiveness of influenza vaccines in preventing acute cardiovascular events within 1 year in Beijing, China. npj Vaccines, 9: 177.

10. Ma Yuan, Li Wei*, Li Juan, Qian Jie, … (2024). Association between influenza vaccination and one-year all-cause and cardiovascular mortality risk: A self-controlled case series and matched case-control study. Journal of Medical Virology, 96(6): e29722.

11. Shuai Kang, Luo Shanshan, Li Wei, and He Yangbo (2024). Identifying causal effects using instrumental variables from the auxiliary dataset. Statistica Sinica, in press.

12. Li Wei, Luo Shanshan, and Xu Wangli (2024). Calibrated regression estimation using empirical likelihood under data fusion. Computational Statistics & Data Analysis, 190: 107871.

13. Li Wei, Lu Zitong, Jia Jinzhu, Xie Min, and Geng Zhi (2024). Retrospective causal inference with multiple effect variables. Biometrika, 111(2): 573-589.

14. Li Wei, Luo Shanshan, He Yangbo, and Geng Zhi (2023). Subgroup analysis using Bernoulli-gated hierarchical mixtures of experts models. Statistics in Medicine, 42(26):4681–4695.

15. 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.

16. 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.

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

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

19. 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.

20. 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.

21. 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.

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

23. 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.

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

25. 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.

26. 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.

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

 

著作教材

1. 吕晓玲、黄丹阳、李伟编著，《数据科学统计基础（第2版）》，太阳成集团122cc官网入口出版社，2024.05

2. 李伟著，《因果推断方法及其应用》，科学出版社，2025.05

 

教学课程

1. 本科课程：数理统计

2. 研究生课程：因果推断、生物统计

 

社会兼职

1. 2025.06-2026.12，中国现场统计研究会因果推断分会，副秘书长

2. 2025.06-2028.05，中国现场统计研究会医学与生物统计分会，副秘书长