Publications

• Li D., Yu J., Zhao H*. (2023), CoxKnockoff: Controlled Feature Selection for the Cox Model Using Knockoffs, Stat. Doi: 10.1002/sta4.607

• Yu J., Li D., Luo L., Zhao H*.(2023), Reproducible Learning for Accelerated Failure Time Models via Deep Knockoffs, Communications in Statistics - Theory and Methods. DOI: 10.1080/03610926.2023.2247508

• Ge L., Choi J., Zhao H., Sun, J.(2023), Regression Analysis of Mixed Panel Count Data with Dependent Observation Processes, Journal of Nonparametric Statistics. Doi: 10.1080/10485252.2023.2203275

• Wu Y., Zhao H., Sun J. (2023), Group Variable Selection for Cox model with Interval-censored Failure Time Data, Biometrics. Doi: 10.1111/biom.13879

• Luo L., Yu J., Zhao H*. (2023), The sparse estimation of the semiparametric linear transformation model with dependent current status data, Journal of Applied Statistics. Doi: 10.1080/02664763.2022.2161488

• 赵慧，刘斌霞，董庆凯，张新雨(2023). 加速失效时间模型下现状数据的Jackknife模型平均，应用数学学报，2023年5月46卷第3期：313-328.

• 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,2023年5月42卷第3期：439-448.

• Dong Q., Liu B., Zhao H*. (2022), Weighted Least Squares Model Averaging for Accelerated Failure Time Models, Computational Statistics and Data Analysis. Vol 184: 107743. Doi: 10.1016/j.csda.2023.107743

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

• Luo L., Zhao H.*. (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

• Du M., Zhao H.*, Sun J. (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.

• Sun D., Zhao H.*, Sun J. (2021). Regression Analysis of Asynchronous Longitudinal Data with Informative Observation Processes, Computational Statistics & Data Analysis,157, 107161. Doi: 10.1016/j.csda.2020.107161.

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

• 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.

• 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. DOI:10.1002/sim.8594.

• 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. DOI:10.1002/bimj.201900180.

• 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. DOI: 10.1080/01621459.2018.1537922.

• 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.

• 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. DOI:10.1111/sjos.12357.

• 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 Data with Linear Transformation Models in the Presence of Informative Cluster Size. 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.(SCI)

• 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 (2008). Comparing identifiability criteria for causal effects in Gaussian causal models (In Chinese). Acta Mathematica Scientia, 28,808-817.

• Hui Zhao, Zhongguo Zheng (2007). Graphical Model and Its Application s in Statistical Modelling (In Chinese), Journal of Applied Statistics and Management, 26(3): 741-746.

• Hui Zhao, Zhongguo Zheng (2007). Causal Analysis for the Efficacy of a Type of Chinese Medicine - Jiangzhiling Tablet (In Chinese), Journal of Applied Statistics and Management, 26(4): 427-431.

• 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)

• Hui Zhao, Ming Xiao,(2005), The Application of Bagging to Hybrid Adaptive Splines (In Chinese), Chinese Journal of applied probability and statistics, 21,278-284.

• 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.