李树威
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771771威尼斯.cm大全副教授。2017年6月博士毕业于吉林大学统计系。 2015年8月至2017年3月作为联合培养博士生留学于美国密苏里大学哥伦比亚分校统计系。主要研究方向为生物统计、应用统计，相关研究成果发表在《Biometrika》、《Biometrics》、《Statistics in Medicine》、《Statistical Methods in Medical Research》、《Scandinavian Journal of Statistics》、《Statistica Sinica》、《Journal of Computational and Graphical Statistics》等期刊上。主持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旅游大数据分会理事、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。
研究方向
生物统计、生存分析、纵向数据
教学方向
统计学、回归分析、多元统计、机器学习、生存分析 (研究生)
发表论文 (corresponding author*)
1. 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.
2. 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.
3. 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.
4. 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.
5. Li, S., Hu, T., Tong, T., and Sun, J. (2020). Semiparametric regression analysis of multivariate doubly-censored data. Statistical Modelling, 20, 502-526.
6. Li, S., Hu, T., and Sun, J. (2020). Regression analysis of misclassified current status data. Journal of Nonparametric Statistics, 32, 1-19.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. Sun, L., Li, S.*, Wang, L., Song, X., and Sui, X. (2021). Simultaneous variable selection in regression analysis of multivariate interval-censored data. Biometrics, DOI: 10.1111/biom.13548.
14. Li, S., and Peng, L. (2021). Instrumental variable estimation of complier causal treatment effect with interval-censored data. Biometrics, DOI:10.1111/biom.13565.
15. Wang, W., Fang, L., Li, S.*, and Sun, J. (2022). Variable selection for misclassified current status data under the proportional hazards model. Communications in Statistics - Simulation and Computation, accepted.
16. 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.
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. 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.
19. 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.
20. 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.
21. Wang, W., Zhao, S., Li, S.*, and Sun, J. (2023). Additive hazards regression for misclassified current status data. Communications in Mathematics and Statistics, DOI: 10.1007/s40304-023-00335-9.
22. Li, S., Hu. T., Wang, L., McMahan, C. S., and Tebbs, J. M. (2024). Regression analysis of group-tested current status data. Biometrika, DOI:10.1093/biomet/asae006.
23. 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, accepted.
24. 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, accepted.
中文论文 (通讯作者*)
1.李洪喜，肖立群，李树威 (2021). 右删失数据下半参数转移模型的变量选择方法研究. 数理统计与管理，40, 242-256.
2.蔡敏，方李君，李洪喜，李树威* (2023). 带有治愈亚组的区间删失数据的变量选择方法研究. 数理统计与管理, 2, 267-277.
