Education

2013.09-2018.07, Doctor of Science in Probability and Mathematical Statistics, Peking University

2009.09-2013.06, Bachelor of Science in Mathematics and Applied Mathematics, Nankai University

Visiting Experience

2015.09-2016.09, Visiting Scholar, Department of Biostatistics, University of Washington, Seattle, USA

Work Experience

2022.08-Present, Associate Professor, School of Statistics, Renmin University of China

2020.06-2022.08, Lecturer, School of Statistics, Renmin University of China

2018.07-2020.06, Boya Postdoctoral Fellow, School of Mathematical Sciences, Peking University

Research Interest

Causal Inference, Causal Discovery, Missing Data, Biostatistics

Honors and Awards

1.Young Scholar of National High-Level Talent Program

2.First Prize for Excellent Scientific Research Achievements, Renmin University of China, 2023

3.Award for Excellent Scientific Research Achievements, Renmin University of China, 2021

Funding

1.General Program of National Natural Science Foundation of China, 2025-2028, Principal Investigator, In Progress

2.General Program of Beijing Natural Science Foundation, 2023-2025, Principal Investigator, In Progress

3.Young Scientists Project of National Key Research and Development Program, 2022.12-2027.11, Principal Investigator of Sub-project, In Progress

4.Key Project of National Statistical Science Research, 2022-2024, Principal Investigator, Completed

5.Youth Project of National Natural Science Foundation of China, 2022-2024, Principal Investigator, Completed

6.New Teacher Start-up Fund Project of Renmin University of China, 2021-2023, Principal Investigator, Completed

7.General Program of China Postdoctoral Science Foundation, 2019-2020, Principal Investigator, Completed

Publication

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.

Books

1.Lu Xiaoling, Huang Danyang, Li Wei, "Statistical Foundations of Data Science (2nd Edition)", China Renmin University Press, May 2024.

2.Li Wei, " Causal Inference Methods and Their Applications", Science Press, May 2025.

Teaching

1.Undergraduate Course: Mathematical Statistics

2.Postgraduate Courses: Causal Inference, Biostatistics