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王培洁

发表于: 2017-11-30   点击: 


基本情况
















姓名: 王培洁



性别:

职称: 副教授

所在系别: 统计系

是否博导:

最高学历: 研究生

最高学位: 博士

Email:

备注: 数学楼506





















详细情况
所在学科专业: 概率论与数理统计
所研究方向: 生物统计
所授课程:

生本科生课程:《数理统计》、《试验设计》、《应用统计软件》

研究生课程:《生存分析》、《现代统计计算》

教育经历:

2010.09-2015.06 吉林大学数学学院 生物统计方向

2006.09-2010.06 吉林大学数学学院 统计学

工作经历:

2019.09-至今 吉林大学数学学院 副教授

2016.06-2021.01   上海财经大学统计与管理学院 博士后

2015.07-2019.09   吉林大学数学学院 讲师

学术论文:

1. Wang, P., Li, D., and Sun, J. (2020) A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model. Biometrics, online.

2. Wang, P., Zhou, Y., and Sun, J. (2020) A new method for regression analysis of interval‑censored data with the additive hazards model. Journal of the Korean Statistical Society, 49, 1131-1147.

3. Wang, S., Wang, C., Wang, P., and Sun, J. (2020) Estimation of the additive hazards model with case K interval-censored failure time data in the presence of informative censoring. Computational Statistics and Data Analysis, 144, online.

4. 王培洁, 周勇. 左截断区间删失数据在比例风险率模型下回归分析的新方法. 数理统计与管理, 2020年第5, 857-864.

5. Wang, P., Zhao, H., Du, M., and Sun, J. (2018) Inference on semiparametric transformation model with general interval-censored failure time data. Journal Journal of Nonparametric Statistics, 30, 758-773.

6. Wang, S., Wang, C., Wang, P., and Sun, J. (2018) Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data. Computational Statistics and Data Analysis, 125, 1-9.

7. Wang, P.Tong, X., and Sun, J. (2018) A semiparametric regression cure model for doubly censored data. Lifetime Data Analysis, 24, 492-508.

8. 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.

9. Zhang, H.Wang, P., and Sun, J. (2018) Regression analysis of interval-censored failure time data with possibly crossing hazards. Statistics in Medicine, 37,768-775.

10. 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.

11. Wang, P., Zhao, H., and Sun, J. (2016) Regression analysis of case K interval-censored failure time data in the presence of informative censoring. Biometrics, 72, 1103-1112.

12. Wang, P., Tong, X., Zhao, S., and Sun, J. (2015) Regression analysis of left-truncated and case I interval-censored data with the additive hazards model. Communications in Statistics-Theory and Methods, 44, 1537-1551.

13. Wang, P., Tong, X., Zhao, S., and Sun, J. (2015) Efficient estimation for the additive hazards model in the presence of left-truncation and interval censoring. Statistics and Its Interface, 8, 391-402.

14. Zhao, S.Hu, T., Ma, L., Wang, P., and Sun, J. (2015) Regression analysis of informative current status data with the additive hazards model. Lifetime Data Analysis, 21, 241-258.

Zhao, S.Hu, T., Ma, L., Wang, P., and Sun, J. (2015) Regression analysis of interval-censored failure time data with the additive hazards model in the presence of informative censoring. Statistics and Its Interface, 8, 367-377.

获奖情况:

2019年吉林省科学技术奖二等奖第二完成人

2017年、2018年泛华统计协会(ICSA)青年学者奖

指导学生获全国大学生数学竞赛二等奖

座右铭:

天道酬勤,力耕不欺。




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