曹永秀

发布者:系统管理员发布时间:2017-05-13浏览次数:5741


姓名:曹永秀

性别:

籍贯:山东冠县

民族:

所在系:数学与数量经济学

教研室:金融数学

是否博导:

是否硕导:

职称:副教授

现任职务:教师

电子邮箱:yxcao@zuel.edu.cn


讲授课程:

  1. 本科课程:高等数学

  2. 硕士课程:高维统计学

研究方向:

生存分析、高维数据

个人简历(教育背景、工作经历等)

  1. 20157月至今,beat365官网 beat365平台

  2. 20119月至20156月,武汉大学 概率论与数理统计学 博士研究生

  3. 20099月至20116月,武汉大学 概率论与数理统计学 硕士研究生

420059月至20096月,南京财经大学 数学与应用数学 学士

(以下各项内容可根据个人情况自行增减,填完删除此行)

科学研究:

#表示员工,*表示通讯作者)

  1. Cao, Y. and Yu, J*.(2023). Adjusting for unmeasured confounding in survival causal effect using validation data. Computational Statistics & Data Analysis180,107660.

  2. Cao, Y., Zhang, X#. and Yu, J*.(2022). Estimating survival treatment effects with covariate adjustment using propensity score.Acta Mathematica Sinica, English Series 38,2057-2068.

  3. Cao, Y*. and Yu, J. (2022). Estimation of average treatment effect with case-cohort design. Acta Mathematica Sinica, Chinese Series 65,751-762.

  4. Cao, Y. and Yu, J*.(2021). A class of goodness-of-fit test for the additive hazards model with case-cohort data. Pharmaceutical Statistics20, 451-461.

  5. Yu, J. and Cao, Y*. (2020). Model diagnostics for the proportional hazards model with case-cohort design. Acta Mathematica Sinica, Chinese Series 63,137-148.

  6. Cao, Y., Shi, Y. and Yu, J*. (2019). Statistical inference for the accelerated failure time model under two-stage generalized case-cohort design. Communications in Statistics-Theory and Methods. 48, 6063-6079.

  7. 曹永秀,焦雨领,石跃勇,刘妍岩* (2018). Cox比例风险模型中基于SELO惩罚函数的变量选择方法.中国科学:数学48 (5),643-660.

  8. Cao, Y., Yang, Q. and Yu, J*. (2017). Optimal generalized case-cohort analysis with accelerated failure time model. Journal of the Korean Statistical Society46, 298-307.

7Cao, Y., Huang, J., Jiao, Y. and Liu, Y*. (2017). A lower bound based smoothed quasi-Newton algorithm for group bridge penalized regression. Communications in Statistics-Simulation and Computation 46, 4694-4707.

8)  Cao, Y., Huang, J., Liu, Y. and Zhao, X*. (2016). Sieve estimation of Cox models with latent structures. Biometrics 72, 1086-1097.