代表性论文：
[1]Feng, Y., Zhao, X.B. (赵晓兵) and Zhou, X. (2020). Semiparametric random censorship models for survival data with long-term survivors. Communications in Statistics-Simulation and Computation, 49, 2876-2896.
[2]Wang, W.W., Wang,Y.J., Wu, X.Y. and Zhao, X.B. (赵晓兵). (2020). Effi-cient estimation of panel count data with dependent observation process.Preprint: Journal of Statistical Computation and Simulation
[3]Zhao, X.B. (赵晓兵) and Zhou, X. (2020). Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates. Statistical Papers, 61,523-541.
[4]Zheng,Y.Q., Zhao, X.B. (赵晓兵) and Zhang, X. Q. (2020). Quantile regres -sion for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system. Preprint: Communications in Statistics-Simulation and Computation.
[5]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2020). Quantile Regression of Panel Count Data on Quadratic Inference Functions. Journal of Statistical Planning and Inference, 207,230-245.
[6]Zhang, X. Q., Zhao, X.B. (赵晓兵) and Zheng, Y.Q. (2020). A novel approach to estimate the Cox model with temporal covariates and application to medical cost data. Communications in Statistics-Simulation and Computation，18,4520-4539.
[7]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2019). Quantile Estimation of Partially Varying Coefficient Model for Panel Count Data with Informative Observation Times. Journal of Nonparametric Statistics, 31(4), 932-951.
[8]Zheng, Y.Q., Zhao, X.B. (赵晓兵), Zhang, X. Q.，Ye, X.Y. and Dai, Q. W. (2019). Mining the hidden link structure from distribution flows for a spatial social network. Preprint: Complexity.
[9]Wang, W. W., Wu, X. Y. Zhang, X.Q. and Zhao, X.B. (赵晓兵). (2019). Partial sufficient dimension reduction on the joint model of recurrent events and terminal events. Journal of Applied Statistics, 46, 522-541.
[10]Zhao, X.B. (赵晓兵), Wang, W. W., Liu, L. and Shih, T. (2018). A flexible quantile regression model for medical costs, with application to medical expenditure panel survey study costs. Statistics in Medicine, 37, 2645-2666.
[11]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2018). Robust variable selection of joint frailty model for panel count data. Journal of Multivariate Analysis, 167，60-78.
[12]Zheng, Y.Q., Zhao, X.B. (赵晓兵) and Zhang, X. Q. (2018). Understand dynamic status-change of hospital stay and cost accumulation by a differential equation- based combination of continuous and finitely-jumped processes. Computational and Mathematical Methods in Medicine.
[13]Zhao, X.B. (赵晓兵) and Zhou, X. (2017). Multi-type insurance claim processes with high-dimensional covariates. Communications in Statistics-Simulation and Computation, 46，500-514.
[14]Zhao, X.B. (赵晓兵) and Zhou. X. (2015). Semiparametric models of longitudinal and time-to-event data with applications to HIV viral dynamics and CD4 counts. Journal of Applied Statistics, 42, 2461-2477.
[15]Zhao, X.B. (赵晓兵) and Zhou. X.(2015). Estimation of copula based models for lifetime medical costs. Annals of the Institute of Statistical Mathematics, 67, 897-915.
[16]Zhao, X.B. (赵晓兵), Wang, J. L., Zhou, X. and Zhu, Z. Y.. (2015). Recurrent events analysis in the presence of terminal event and zero-recurrence subjects. Communications in Statistics -Theory and Methods, 44, 710-725.
[17]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Copula-based dependency between frequency and class in car insurance with excess-zeros. Operations Research Letters, 42, 273-277.
[18]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Sufficient dimension reduction on the mean and rate functions of recurrent events. Statistics in Medicine, 33, 3693-3709
[19]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Sufficient dimension reduction on marginal regression for gaps of recurrent events. Journal of Multivariate Analysis，127，56-71.
[20]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Estimation of medical costs by copula models with dynamic change of health status. Insurance: Mathematics and Economics, 51, 480-491.
[21]Zhao, X.B. (赵晓兵), Zhou, X. and Wang, J. L. (2012). Semiparmetric model for recurrent events data with cure fraction and informative censoring. Journal of Statistical Planning and Inference, 141, 289-300.
[22]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Modeling gap times between recurrent events by marginal rate function. Computational Statistics and Data Analysis, 56, 370-383.
[23]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Estimation of copula-based insurance claim numbers with excess zeros. Insurance: Mathematics and Economics, 50,191-199.
[24]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Measurement error in proportional hazards models for survival data with long-term survivors. Acta Mathematicae Applicatae Sinica, English Series, 28(2)，275-288.
[25]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Empirical receiver operating characteristic curve for two-sample comparison with cure fractions, Lifetime Data Analysis, 16，316-332.
[26]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Semiparametric estimation in transformation models with cure fraction, Communications in Statistics-Theory and Methods, 39，3371-3388.
[27]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Applying copula models to individual claim loss reserving methods. Insurance: Mathematics and Economics, 46, 290-299.
[28]Wen, L.M., Wu, X.Y. and Zhao, X.B. (赵晓兵). (2009). The credibility premiums under generalized weighted loss functions. Journal of Industrial and Management Optimization, 5(4), 893-910.
[29]Zhao, X.B. (赵晓兵), Wang, J. L. and Zhou, X. (2009). Semiparametric model for prediction of individual claim loss reserving. Insurance: Mathematics and Economics, 45, 1-8.
[30]Zhao, X.B. (赵晓兵) and Zhou, X. (2009). Semiparametric modeling of cost data containing zeros. Statistics and Probability Letters, 79,1207-1214.
[31]Zhao, X.B. (赵晓兵), Wu X.Y. and Zhou, X. (2009). A Change-point model for survival data with long-term survivors. Statistica Sinica, 377-390
[32]Zhao, X.B. (赵晓兵) and Zhou, X. (2008). Discrete-time survival analysis for survival data with long-term survivors. Statistics in Medicine, 27, 1261-1281.
[33]Zhao, X.B. (赵晓兵) and Zhou, X and Wu, X.Y. (2007). Local linear regression in proportional hazards model with censored data. Communications in Statistics -Theory and Methods, 36, 2761-2776.
[34]Zhao, X.B. (赵晓兵) and Zhou, X. (2006). Proportional hazards models for survival data with long-term survivors. Statistics and Probability Letters, 76, 1685-1893.
