系 所：统计系，邮箱：seslishuw@gzhu.edu.cn

个人简历

李树威, 统计学博士, 现任广州大学经济与统计学院副教授。2017年6月博士毕业于吉林大学统计系。主要研究方向为生物统计、大数据处理及机器学习，相关研究成果发表在Biometrika、Biometrics、Statistics in Medicine、Statistica Sinica、Journal of Computational and Graphical Statistics等期刊上。主持国家自然科学基金面上项目、国家自然科学基金青年项目、广东省自然科学基金面上项目、广州市科技局项目等。现任全国工业统计学教学研究会青年统计学家协会理事、中国现场统计研究会资源与环境分会理事、广东省现场统计学会常务理事等。

研究方向

生存分析、大数据分析、深度学习等

教学方向

统计学、回归分析、多元统计、机器学习、生存分析

发表论文 (corresponding author*)

1. Fang, L., Hu. T., Li, S.*, Wang, L., McMahan, C. S., and Tebbs, J. M. (2025+). Probit time-to-event regression for misclassified group testing data. Statistica Sinica, accepted.

2. Huang, P., Li, S.*, and Song, X*. (2025). Additive hazards regression analysis of massive interval-censored data via data splitting. The American Statistician, 79(2), 145-155.

3. Wang, W., Zhao, S., Li, S.*, and Sun, J. (2025). Additive hazards regression for misclassified current status data. Communications in Mathematics and Statistics, 13(2), 507-526.

4. Li, H., Li, S.*, Sun, L., and Song, X*. (2025). Semiparametric structural equation models with interval-censored data. Structural Equation Modeling: A Multidisciplinary Journal, 32, 14-25.

5. Huang, P., Li, S.*, and Song, X*. (2024). Distributed additive hazards regression analysis of multi-site current status data without using individual-level data. Statistics and Computing, 34, article number: 208.

6. Li, S., Sun, L.*, Wang, L., and Tu, W. (2024+). A general class of transformation cure rate frailty models for multivariate interval-censored data. Communications in Mathematics and Statistics, accepted.

7. Li, H., Li, S.*, Sun, L., and Song, X. (2024). Factor-augmented transformation models for interval-censored failure time data. Biometrics, 80, article number: ujae078.

8. Yuan, C., Zhao. S., Li, S.*, and Song, X*. (2024). Sieve maximum likelihood estimation of partially linear transformation models with interval-censored data. Statistics in Medicine, 43, 5765-5776.

9. Li, S., Shao. L., and Li, S.*. (2024+). Variable selection in proportional hazards model with left-truncated survival data: a penalized composite likelihood approach. Communications in Statistics - Simulation and Computation, accepted.

10. Li, S., Hu. T., Wang, L., McMahan, C. S., and Tebbs, J. M. (2024). Regression analysis of group-tested current status data. Biometrika, 111, 1047-1061.

11. Feng, F., Zhao, S., Li, S.*, and Sun, J. (2024). A simulation-extrapolation approach to the analysis of interval-censored failure time data with mis-measured covariates. Journal of Systems Science and Complexity, 37, 2721-2737.

12. Deng, Y., Li, S.*, Sun, L., and Song, X. (2024). Semiparametric probit regression model with general interval-censored failure time data. Journal of Computational and Graphical Statistics, 33, 1413-1423.

13. Wang, W., Fang, L., Li, S.*, and Sun, J. (2024). Variable selection for misclassified current status data under the proportional hazards model. Communications in Statistics-Simulation and Computation, 53, 1494-1503.

14. Shao, L., Li, H.*, Li, S., and Sun, J. (2023). A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring. BMC Medical Research Methodology, 23, Article number: 82.

15. Feng, F., Wang, P., Li, S.*, Sun, J. and Ke, C. (2023). Semiparametric regression analysis of length-biased and partly interval-censored data with application to an AIDS cohort study. Statistics in Medicine, 42, 2293-2310.

16. Lu, T., Li, H., Li, S.*, and Sun, L. (2023). Efficient estimation for the proportional hazards model with left-truncated and interval-censored data. Stat, 12, Article number: e628.

17. Lu, T., Li, S.*, and Sun, L. (2023). Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data. Lifetime Data Analysis, 29, 672-697.

18. Fang, L., Li, S.*, Sun, L., and Song, X. (2023). Semiparametric probit regression model with misclassified current status data. Statistics in Medicine, 42, 4440-4457.

19. Li, S., and Peng, L. (2023). Instrumental variable estimation of complier causal treatment effect with interval-censored data. Biometrics, 79, 253-263.

20. Sun, L., Li, S.*, Wang, L., Song, X., and Sui, X. (2022). Simultaneous variable selection in regression analysis of multivariate interval-censored data. Biometrics, 78, 1402-1413.

21. Qiao, Y., Ding, Y., Li, G., Lu, Y., Li, S.*, and Ke, C*. (2022). Role of depression in the development of cardiometabolic multimorbidity: Findings from the UK Biobank study. Journal of Affective Disorders, 319, 260-266.

22. Li, S., Tian, T., Hu, T., and Sun, J. (2021). A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model. Statistics in Medicine, 40, 6309 - 6320.

23. Sun, L., Li, S.*, Wang, L., and Song, X. (2021). A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup. Statistical Methods in Medical Research, 30, 1890 - 1903.

24. Cai, M., Xiao, L., Li, S. (2021). Regression analysis of doubly censored data with a cured subgroup under a class of promotion time cure models. Acta Mathematica Sinica: English Series, 37, 835-853.

25. Li, S., Wu, Q, and Sun, J. (2020). Penalized estimation of semiparametric transformation models with interval-censored data and application to Alzheimer’s disease. Statistical Methods in Medical Research, 29, 2151-2166.

26. Li, S., Hu, T., Zhao, S., and Sun, J. (2020). Regression analysis of multivariate current status data with semiparametric transformation frailty models. Statistica Sinica, 30, 1117-1134.

27. Li, S., Sun, J., Tian, T., and Cui, X. (2020). Semiparametric regression analysis of doubly censored failure time data from cohort studies. Lifetime Data Analysis, 26, 315-338.

28. Li, S., Hu, T., and Sun, J. (2020). Regression analysis of misclassified current status data. Journal of Nonparametric Statistics, 32, 1-19.

29. Li, S., Hu, T., Tong, T., and Sun, J. (2020). Semiparametric regression analysis of multivariate doubly-censored data. Statistical Modelling, 20, 502-526.

30. Sun, L., Li, S.*, Wang, L., and Song, X. (2019). Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: an application to the prostate cancer screening study. Statistics in Medicine, 16, 3026-3039.

31. Li, S., Hu, T., Zhao, X., and Sun, J. (2019). A class of semiparametric transformation cure models for interval-censored failure time data. Computational Statistics and Data Analysis, 133, 153-165.

32. Li, S., Hu, T., Wang, P., and Sun, J. (2018). A class of semiparametric transformation models for doubly censored failure time data. Scandinavian Journal of Statistics, 45, 682–698.

33. Li, S., Hu, T., Wang, P., and Sun, J. (2017). Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments. Computational Statistics and Data Analysis, 110, 75–86.