团队队伍

赵慧

发布者：吕亮发布时间：2022-12-29浏览次数：9309

姓名：赵慧

性别：女

籍贯：河南省郑州市

民族：汉

所在系：数理与金融统计系

教研室：数理统计

是否博导：是

是否硕导：是

职称：教授

现任职务：

电子邮箱：hzhao@zuel.edu.cn  

个人主页：https://hzhaozuel.github.io


讲授课程：

概率论、数理统计、多元统计分析、线性模型、广义线性模型、非参数与半参数统计、生存分析、高等数理统计、计量经济学、大数据统计基础、高维数据分析


研究方向：

生存分析、纵向数据分析、高维统计、图模型与因果推断

社会职务：

中国现场统计研究会多个分会理事、湖北现场统计学会常务理事


个人简历(教育背景、工作经历等)：

2005年6月于北京大学数学科学学院获得数理统计专业博士学位

09/2018-至 今 beat365平台，教授

07/2014-08/2018华中师范大学数学与统计学学院，教授

07/2008-06/2014华中师范大学数学与统计学学院，副教授

09/2016-09/2017美国密苏里大学统计学系，访问学者

12/2014-02/2015香港理工大学应用数学系，访问学者

01/2011-02/2012 美国密苏里大学统计学系，博士后

04/2010-07/2010 中国科学院应用数学所，访问学者

07/2005-06/2007 中国科学院系统科学研究所，博士后


科学研究：


科研项目：

  • 主持国家自然科学基金项目：基于区间删失数据的变量选择及相关问题研究(2022,01-2025,12)  

  • 主持国家自然科学基金项目：复杂区间删失数据的统计推断及其应用(2015,01-2018,12)

  • 主持国家自然科学基金项目：不依从机制下随机化试验中的因果推断(2011,01-2013,12)

  • 参加国家自然科学基金项目：统计模拟抽样算法及相关问题研究(2016,01- 2019,12)

  • 参加国家自然科学基金项目：基因连锁分析中的若干统计问题(2006,01- 2008,12)

  • 主持中国博士后科学基金项目:《基于贝叶斯网络的若干统计机器学习问题》(2006,01-2006,12)

  • 主持中央高校基本科研业务费专项资金（重大培育项目）：《复杂数据的统计分析研究》(2015,01-2017,12）

  • 主持中央高校基本科研业务费专项资金（国际合作项目）:《临床医学中删失纵向数据的统计分析》(2013,01-2014,12)

  • 主持中央高校基本科研业务费专项资金（青年基金项目）：《复杂数据中的两个因果推断问题》(2011,01-2012,12)


论著：

郑忠国,童行伟,赵慧.《高等统计学》, 2012年2月,北京大学出版社出版。


近五年科研论文：

在Journal of the American Statistical Association,Biometrics, Scandinavian Journal of Statistics, Journal of Multivariate Analysis, Statistical Methods in Medical Research，Statistics in Medicine,《中国科学》,《数理统计与管理》等国内外统计学期刊发表的科研论文主要包括：

  • 赵慧,董庆凯(2022).当前状态数据的可加风险模型变量选择方法,系统科学与数学. 42(5): 1314-1329.  DOI: 10.12341/jssms21468

  • 赵慧,于金钊(2022).可加风险模型下现状数据的降维问题,数理统计与管理.已在线发表.

  • Binxia Liu, Hui Zhao, Chunjie Wang. (2022). Bayesian empirical likelihood of linear regression model with current status data, Communications in Statistics - Theory and Methods, Published online: 24 Mar 2022.

  • Lin Luo, Hui Zhao*. (2022). A new approach to regression analysis of linear transformation model with interval-censored data, Communications in Statistics - Theory and Methods.2021年12月16日online,DOI:10.1080/03610926.2021.2012195.

  • Mingyue Du, Hui Zhao*, Jianguo Sun. (2021). A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data, Statistical Methods in Medical Research，2021, 30(8), 1833-1849. DOI:10.1177/09622802211009259.

  • Lin Luo,Hui Zhao*. (2021). Robust regression analysis for Clustered Interval-Censored failure time data, Journal of Systems Science and Complexity.34,1156–1174.  

  • Hui Zhao, Qiwei Wu, Gang Li, Jianguo Sun. (2020). Simultaneous Estimation and Variable Selection for interval-censored data with broken adaptive ridge regression.Journal of the American Statistical Association. 115(529), 204-216.

  • Qiwei Wu,Hui Zhao*, Liang Zhu, Jianguo Sun. (2020). Variable Selection for High-dimensional Partly Linear Additive Cox Model with Application to Alzheimer's Disease,Statistics in Medicine.39(23), 3120-3134.

  • Hui Zhao, Qiwei Wu, Peter B. Gilbert, Ying Q.Chen, Jianguo Sun, (2020). A regularized estimation approach for case-cohort periodic follow-up studies with an application to HIV vaccine trials,Biometrical Journal, 62,1176–1191.

  • Qin Jiang,Hui Zhao, Hong Qin. (2019). On a general class of semiparametric hazards regression models for recurrent gap times,Acta Mathematicae Applicatae Sinica, English Series, 35 (3):549-563.

  • 赵慧,崔琪,孙建国. (2019).可加风险模型下相依I型区间删失数据的一个Copula推断方法,中国科学：数学, 49 (9) , 1261-1272.

  • Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun.(2019).Simultaneous Estimation and Variable Selection for Incomplete Event History Studies.Journal of Multivariate Analysis,171, 350-361.

  • Guanglei Yu, Yang Li, Liang Zhu,Hui Zhao*, Jianguo Sun. (2019).   An Additive-Multiplicative Means Model for Panel Count Data with Dependent Observation and Drop-out processes.Scandinavian Journal of Statistics, 46(2), 414-431.

  • Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun. (2018). Variable selection for the recurrent event data with broken adaptive ridge regression.The Canadian Journal of Statistics. 46 (3): 416-428.

  • Hui Zhao, Chenchen Ma, Junlong Li, Jianguo Sun. (2018). Regression Analysis of Clustered Interval-Censored Failure Time DatawithLinearTransformationModels in thePresence ofInformativeClusterSize.Journal of Nonparametric Statistics. 30 (3): 703-715.

  • Qi Cui,Hui Zhao, Jianguo Sun. (2018).  Semiparametric regression analysis of dependent current status data based on copula.Statistics and its interface. 11(3):463-471.

  • Peijie Wang,Hui Zhao*, Jianguo Sun. (2018). Inference on semiparametric transformation model with general interval-censored failure time data.Journal of Nonparametric Statistics. 30 (3): 758-773.

  • Da Xu,Hui Zhao, Jianguo Sun. (2018). Joint analysis of interval-censored failure time data and panel count data,Lifetime Data Analysis. 24(1):94-109.

  • Peijie Wang,Hui Zhao, Jianguo Sun. (2016). Regression analysis of case k interval-censored failure time data in the presence of informative censoring.Biometrics,72,1103-1112.

  • Liang Zhu,Hui Zhao*, Jianguo Sun, Wendy Leisenring, Leslie L. Robison. (2015). Regression analysis of mixed recurrent-event and panel-count data with additive rate models.Biometrics, 71,71-79.

  • Jianguo Sun, Yanqin Feng,Hui Zhao. (2015). Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model.Lifetime Data Analysis,21(1),138-55.

  • Yang Li, Hui Zhao*, Jianguo Sun,(2014). Nonparametric tests for panel count data with unequal observation processes. Computational Statistics and Data Analysis, 73, 103-111.

  • Hui Zhao, Kate Virkler, Jianguo Sun,(2014).  Nonparametric comparison for multivariate panel count data.  Communications in Statistics - Theory and Methods. Vol. 43(3), 644-655.

  • Liang Zhu, Hui Zhao, Jianguo Sun, Stanley Pounds. (2014). A conditional approach for regression analysis of longitudinal data with informative observation time and non-negligible observation duration, Communications in Statistics - Theory and Methods. 43, 4998-5011.

  • Haixiang Zhang, Hui Zhao*, Jianguo Sun, Dehui Wang,(2013)..Regression analysis of multivariate panel count data with informative observation process. Journal of Multivariate Analysis. 119, 71-80.

  • Hui Zhao, Yang Li, Jianguo Sun, (2013). Analyzing panel count data with dependent observation process and a terminal event.The Canadian Journal of Statistics, 41, 174-191.

  • Liang Zhu, Hui Zhao*, Jianguo Sun, Pounds Stanley, (2013).  Joint analysis of longitudinal data and recurrent episodes data with application to medical cost analysis, Biometrical Journal, 55,5-16.

  • Hui Zhao, Yang Li, Jianguo Sun, (2013). Semiparametric analysis of multivariate panel count data with dependent observation process and terminal event. Journal of Nonparametric Statistics,25, 379-394.

  • Hui Zhao,Jie Zhou, Liuquan Sun, (2013).A marginal additive rates model for recurrent event data with a terminal event. Communications in Statistics - Theory and Methods,42,2567-2583.

  • Ni Li, Hui Zhao, Jianguo Sun, (2013). Semiparametric transformation models for panel count data with correlated observation and follow-up times, Statistics in Medicine, 32, 3039–3054.

  • Liang Zhu, Xingwei Tong, Hui Zhao, Jianguo Sun, Deo Kumar Srivastava, Wendy Leisenring, Leslie L. Robison, (2013). Statistical analysis of mixed recurrent event data with application to cancer survivor study, Statistics in Medicine, 32(11),1954-1963.

  • Hui Zhao, Ningning Jiang, (2012).  A two-stage estimation algorithm for a type of current status data. Journal of Systems Science and Complexity, 25, 556-566.

  • Hui Zhao, Dan Yu, (2009). A random effects generalized linear model for reliability compositive evaluation. Science in China (A), 52, 2218-2227.

  • Hui Zhao, Zhongguo Zheng, Baijun Liu, (2005).  On the Markov equivalence of maximal ancestral graphs. Science in China (A),48(4),548-562.

  • Baijun Liu, Zhongguo Zheng, Hui Zhao, (2005).  An efficient algorithm for finding the largest chain graph given chain graph. Science in China (A), 48(11), 517-1530.

  • Xingwei Tong, Hengjian Cui, Hui Zhao, (2005).  Asymptotics of Huber-Dutter estimators for partial linear model with nonstochastic designs. Acta Mathematicae Applicatae Sinica, 21,257-268. 

  • Hui Zhao, Zhongguo Zheng, Jing Xu, (2006).  Causal inference in the models with hidden variables and selection bias.  Acta Scientiarum naturalium Universitatis Pekinensis(北京大学学报，自科版), 42, 584-589.(EI)

  • 赵慧, 郑忠国.(2008). Gauss因果模型中因果效应识别方法的比较, 数学物理学报,  28,808-817.

  • 赵慧, 郑忠国.(2007).  图模型及其在统计建模中的应用，数理统计与管理, 26(3): 741-746.

  • 赵慧, 郑忠国.(2007).中药降脂灵片药效的因果分析，数理统计与管理, 26(4), 427-431.

  • 赵慧, 肖明.(2005).  Bagging 算法在混合适应性样条中的应用,应用概率统计, 21,278-284.

教学研究：

  1. 《概率论与数理统计系列课程应用能力培养的研究与实践》，湖北省高等学校教学成果奖，二等奖，2006年


获奖荣誉：

  1. 第八届“五四”京津地区概率统计学术讨论会优秀论文奖，2004

  2. 北京大学“五四”奖学金，2005

  3. 北京大学2005届优秀毕业生，2005

  4. 中科院系统科学研究所许国志博士后工作奖励基金，2006