Research Grants
1) National Natural Science Foundation of China, Statistical inference for complex interval-censored data and its application. ( PI , RMB 600,000, Jan,2015-Dec,2018)
2) National Natural Science Foundation of China, Causal inference in randomized trials with non-compliance. ( PI , RMB 170,000, Jan,2011-Dec,2013)
3) The Major Program of the Fundamental Research Funds for the Central Universities, Research on the Statistical Analysis for Some Complex Data. ( PI , RMB 300,000, Jan,2015-Dec,2018)
4) The Fundamental Research Funds for the Central Universities ( International Joint Research Program), Statistical Analysis about the Censored Data in Clinical Medicine. ( PI , RMB 50,000, Jan,2003-Dec,2003)
5) The Fundamental Research Funds for
Central
Universities
(for the Preeminent Youth), Statistical Analysis about the Censored Data in Clinical Medicine. ( PI , RMB 30,000, Jan,2003-Dec,2003)
6) China Postdoctoral Science Foundation,Some statistical machine learning questions based on Bayesian networks. ( PI , RMB30,000, Oct,2006-Sep,2007)
7) The Science Fund of Central China Normal University, A new adaptive nonparametric regression method. ( PI , RMB5000, Jan,2003-Dec,2003)
SOME JOURNAL PAPERS
n Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun. (2017). Variable Selection for the Recurrent Event Data with Broken Adaptive Ridge Regression. Submitted to TheCanadian Journal of Statistics.
n Hui Zhao, Qiwei Wu, Ryan Sun, Jianguo Sun. (2017). Variable Selection of Interval-Censored Failure Time Data. Submitted to Biometrics.
n Hui Zhao, Chenchen Ma, Junlong Li, Jianguo Sun. (2017). Regression Analysis of Clustered Interval-Censored Failure Time Data with Informative Cluster Size Based on Linear Transformation Models. Submitted to Journal of Nonparametric Statistics.
n Guanglei Yu, Yang Li, Liang Zhu, Hui Zhao*, Jianguo Sun. (2017). An Additive-Multiplicative Means Model for Panel Count Data with Dependent Observation and Drop-out processes. Submitted to Scandinavian Journal of Statistics.
n Peijie Wang, Hui Zhao*, Jianguo Sun. (2017). Inference on Semiparametric Transformation Model with General Interval-censored Failure Time Data. Submitted to Journal of Nonparametric Statistics.
n Qi Cui, Hui Zhao, Jianguo Sun. (2017). Semiparametric Regression Analysis of Dependent Current Status Data Based on Copula. Submitted to Statistics and its interface.
n Qi Cui, Hui Zhao, Jianguo Sun. (2017). A Copula Model-based Method for Regression Analysis of Dependent Current Status Data with the Additive Hazards Model. Submitted to Science China Mathmetics.
n Hui Zhao, Qiwei Wu, Gang Li, Jianguo Sun. (2017). Broken Adaptive Ridge Regression for Cox Model with Interval-Censored Data and a diverging number of parameters.
n Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun. (2017). Variable Selection for the Panel Count Data with Broken Adaptive Ridge Regression.
n Da Xu, Hui Zhao, Jianguo Sun. (2017). Joint Analysis of Interval-Censored Failure Time Data and Panel Count Data, Lifetime Data Analysis. In press (2017 Jun 12. Doi: 10.1007/s10985-017-9397-0).
n Peijie Wang，Hui Zhao，Jianguo Sun. (2016). Regression Analysis of Case K Intervel-censored Failure Time Data in the Presence of Informative Censoring. Biometrics,72,1103-1112.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n 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.
n Hui Zhao, Dan Yu, (2009). A random effects generalized linear model for reliability compositive evaluation. Science in China (A), 52, 2218-2227.
n Hui Zhao, Zhongguo Zheng, Jing Xu , (2006). Causal inference in the models with hidden variables and selection bias. Acta Scientiarum naturalium Universitatis Pekinensis, 42, 584-589.
n Hui Zhao, Zhongguo Zheng., Baijun Liu, (2005). On the Markov equivalence of maximal ancestral graphs. Science in China (A),48(4),548-562.
n 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.
n 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.
