Book

Sun, J. and Zhao, X. (2013). Statistical Analysis of Panel Count Data. Springer New York. 

Referred Journals

  1.  Deng, S. and Zhao, X. (2018). Covariate-adjusted regression for distorted longitudinal data with informative observation times. Journal of the American Statistical Association, DOI: 10.1080/01621459.2018.1482757
  2. Gao, F., Xiong, J and Zhao, X. (2018). Moderate deviations and nonparametric inference for monotone functions. Annals of Statistics, 46, 1225-1254.
  3. Jiang, W., Ye, Z. and Zhao, X. (2018). Reliability estimation from left-truncated and right-censored data using splines, Statistica Sinica, accepted.
  4. Hao, M., Lin, Y. and Zhao, X. (2018). Nonparametric inference for right censored data using smoothing splines. Statistica Sinica, accepted.
  5. Zhao, H., Zhang, Y., Zhao, X. and Yu, Z. (2018). A nonparametric regression model for panel count data analysis. Statistica Sinica, accepted.
  6. Liu, Y., Zhang, J. and Zhao, X. (2018). A new nonparametric screening method for ultrahigh -dimensional survival data.  Computational Statistics & Data Analysis 119, 74-85.
  7. Zhang, F, Zhao, X. and Zhou, Y. (2018). An embedded estimating equation for additive risk model with biased-sampling data. Science China Mathematics 61, 1495-1518.
  8. Chen, P., Ye, Z. and Zhao, X. (2017). Minimum distance estimation for the generalized Pareto distribution. Technometrics 59, 528-541.
  9. Shen, L., Sun, D., Ye, Z. and Zhao, X. (2017). Inference on an adaptive accelerated life test with application to smart grid data-acquisition-devices.  Journal of Quality Technology 49,191-212.
  10. He, X., Feng, X., Tong, X. and Zhao, X. (2017). Semiparametric partially linear varying coefficient models with panel count data. Lifetime Data Analysis 23, 439-466.
  11. Zhao, X., Wu, Y. and Yin, G. (2017). Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters. Bernoulli 23, 3385-3411.
  12. Zhao, X. and Zhang, Y. (2017). Asymptotic normality of nonparametric M-estimators with applications to hypothesis testing for panel count data. Statistica Sinica 27, 931-950.
  13. Deng, S., Liu, K. and Zhao, X. (2017). Semiparametric regression analysis of multivariate longitudinal data with informative observation Times. Computational Statistics & Data Analysis 107, 120-130.
  14. Tang, A., Zhao, X. and Tang, N. (2017). Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data. Biometrical Journal 59, 57-78.
  15. Cao, Y., Huang, J., Liu, Y. and Zhao, X. (2016). Sieve Estimation of Cox Models with Latent Structures.  Biometrics 72, 1086-1097.
  16. Hao, M., Lin, Y. and Zhao, X. (2016). A relative error-based approach for variable selection. Computational Statistics & Data Analysis 103, 250-262.
  17. Liu, K. and Zhao, X. (2015). Robust estimation for longitudinal data with informative observation times. Canadian Journal of Statistics 43, 519-533.
  18. Deng, S., Liu, L. and Zhao, X. (2015). Monotone spline-based least squares estimation for panel count data with informative observation times. Biometrical Journal 57, 743-765.
  19. Ye, P., Zhao, X., Sun, L. and Xu, W. (2015). A semiparametric additive rates model for multivariate recurrent events with missing event categories. Computational Statistics & Data Analysis 89, 39-50.
  20. Ye, P. Sun, L., Zhao, X. and Xu, W. (2015). An additive-multiplicative rates model for multivariate recurrent events with event categories missing at random. Science China Mathematics 8, 1163-1178.
  21. Kang, F., Sun, L. and Zhao, X. (2015). A class of transformed hazards models for recurrent gap times. Computational Statistics & Data Analysis 83, 151-167.
  22. Huang, J., Liu, L., Liu Y. and Zhao, X. (2014). Group selection in the Cox model with a diverging number of covariates. Statistica Sinica 24, 1787-1810.
  23. Zhao, X., Deng, S., Liu, L and Liu, L. (2014). Sieve estimation in semiparametric modeling of longitudinal data with informative observation times. Biostatistics 15, 140-153. 
  24. Zhou, J., Zhao, X. and Sun, L. (2013). A new inference approach for joint models of longitudinal data with informative observation and censoring times. Statistica Sinica 23, 571-593.
  25. Zhao, X., Duan, R. Zhao, Q. and Sun, J. (2013). A new class of generalized log rank tests for interval-censored failure time data. Computational Statistics & Data Analysis 60, 123-131.
  26. Zhao, X., Tong, X. and Sun, J. (2013). Robust estimation for panel count data with informative observation times.  Computational Statistics & Data Analysis 57, 33-40.
  27. Zhao, X., Tong, X. and Sun, L. (2012). Joint analysis of longitudinal data with dependent observation times. Statistica Sinica 22, 317-336. 
  28. Zhao, X., Liu, L., Liu. Y. and Xu, W. (2012). Analysis of multivariate recurrent event data with time-dependent covariates and informative censoring.  Biometrical Journal 54, 585-599. 
  29. Gao, F. and Zhao, X. (2011). Delta method in large deviations and moderate deviations for estimators. Annals of Statistics 39, 1211-1240. 
  30. Zhao, X. and Sun, J. (2011). Nonparametric comparison for panel count data with unequal observation processes. Biometrics 67, 770-779. 
  31. Zhao, X., Zhou, J. and Sun L. (2011). Semiparametric transformation models with time-varying coefficients for recurrent and terminal events. Biometrics 67, 401-414. 
  32. Zhao, X. and Tong, X. (2011). Semiparametric regression analysis of panel count data with information observation times. Computational Statistics & Data Analysis 55, 291-300. 
  33. Zhao, X., Balakrishnan, N. and Sun, J. (2011). Nonparametric inference based on panel count data, Test 20, 1-42. 
  34. Zhao, X., Balakrishnan, N. and Sun, J. (2011). Rejoinder on: Nonparametric inference based on panel count data. Test 20, 65-71. 
  35. Sun, L., Zhao, X. and Zhou, J. (2011). A class of mixed models for recurrent event data. Canadian Journal of Statistics 39, 578-590. 
  36. Balakrishnan, N. and Zhao, X. (2011). A class of multi-sample nonparametric tests for panel count data.   Annals of the Institute of Statistical Mathematics 63, 135-156.
  37. Wolters, V., Xu, W., Zhao, X., Walters, T., Griffiths, A., Silverberg, M. and Muise, A. (2011). Replication of genetic variation in the MYO9B gene in Crohn’s disease. Human Immunology 72, 592-597
  38. Balakrishnan, N. and Zhao, X. (2010). A nonparametric test for the equality of counting processes with panel count data. Computational Statistics & Data Analysis, 54, 135-142.  
  39. Zhang, Z., Zhao, X., and Sun, L. (2010). Goodness-of-fit tests for additive mean residual life model under right censoring. Lifetime Data Analysis 16, 385-408. 
  40. Balakrishnan, N. and Zhao, X. (2009). New multi-sample nonparametric tests for panel count data.  Annals of Statistics 37, 1112-1149. 
  41. Zhao, X., Zhao, Q., Sun, J and Kim, J-S. (2008). Generalized log rank tests for partly interval-censored failure time data. Biometrical Journal 50, 375-385. 
  42. Zhu, J., Yuen, K. C., Sun, J. and Zhao, X. (2008). A nonparametric test for interval-censored failure time data with unequal censoring. Communications in Statistics: Theory and Methods 37, 1895-1904. 
  43. Park, D-H, Sun, J. and Zhao, X. (2007). A class of two-sample nonparametric tests for panel count data. Communications in Statistics: Theory and Methods 36, 1611-1625.  
  44. Sun, J., Park, D-H, Sun, L. and Zhao, X. (2005). Semiparametric regression analysis of longitudinal data with informative observation times. Journal of the American Statistical Association 100, 882-889. 
  45. Zhao, X., Lim, H-J. and Sun, J. (2005). Estimating equation approach for regression analysis of failure time data in the presence of interval-censoring. Journal of Statistical Planning and Inference 129, 145-157. 
  46. Zhang, Z., Sun, L., Zhao, X. and Sun, J. (2005). Regression analysis of interval-censored failure time data with linear transformation models. Canadian Journal of Statistics 33, 61-70. 
  47. Sun, J., Zhao, Q. and Zhao, X. (2005). Generalized log-rank test for interval-censored failure time. Scandinavian Journal of Statistics 32, 49-57. 
  48. Xiong, J. and Zhao, X. (2005). Nonlinear filtering with fractional Brownian motion noises. Stochastic Analysis and Applications 23, 55-67.
  49. Sun, J., Lim, H-J and Zhao, X. (2004). An independence test for doubly censored failure time data. Biometrical Journal 46, 503-511.
  50. Kim, S., Kouritzin, M.A., Long, H., McCrosky, J-D and Zhao, X. (2004). A stochastic grid filter for multi-target tracking. Proceedings of SPIE on Signal Processing, Sensor Fusion, and Target Recognition XIII, 5429, 245-253.
  51. Zhao, X. (2001). Test for the day-of-the-week effect in Shenzhen stock market. Journal of Zhongnan University of Economics, No. 1.
  52. Zhao, X. (2000). Non-linear dynamic structure in Shenzhen stock exchange index. Statistics and Decision (China), No. 12.
  53. Zhao, X. (1999). Stock prices, inflation and output: evidence from China. Applied Economics Letters 6, 509-511.
  54. Zhao, X. (1999). Estimation method of fractal dimension for model of fractional Brownian motion, Mathematics in Economics (China), 16, 60-67.
  55.  Zhao, X., Xu, J. and Zhang, H. (1999). Research of forecasting tax revenue models, Taxation Research (China), No. 8, 28-30.
  56.  Zhao, X. (1998). Predicted interval of multi-period accumulators in time series and applications. Statistical Research (China), No. 6, 47-49.
  57.  Zhao, X. (1998). Variation coefficient and its role in building non-stationary time series models. Statistics and Decision (China), No. 11.
  58. Li, L. and Zhao, X. (1998). How to analyze and single out the best investment approaches. Journal of Hubei University (Philosophy and Social Science) 25, 49-51.
  59. Su, F. and Zhao, X. (1997). Multi-fractal decompositions of random recursive constructions. Chinese Journal of Applied Probability and Statistics, 13, 113-119.
  60.  Ren, F., Zhao, X., Jiang, F., Qiu, W., Su, F. and Qiang, S. (1997). On the fractal properties of the reflection curve and velocity curve from a well log.  Journal of Fudan University (Natural Science) 36, 691-699.
  61. Zhao, X. (1996). Hausdorff measure of level sets of multi-parameter stable processes. Fractal Theory and its Application (Collection of Selected Papers on The Fourth Conference on Fractal Theory and its Application in China), China: Yunnan University Press.
  62. Ren, F., Zhao, X., Jiang, F., Qiu, W., Su, F., Qiang, S. and Shen, P. (1996).  Local fractional Brownian motions and Gaussian noises and application. Journal of Fudan University (Natural Science) 35, 361-373.
  63. Zhao, X. (1995). Packing measure of graph sets for processes with stable components. Chinese Annals of Mathematics 16A, 344-349.
  64.  Zhao, X. (1995). Uniform measure and uniform dimension results for the image of subsets under processes with stable components. Chinese Journal of Applied Probability and Statistics 11, 283-288.
  65. Su, F. and Zhao, X. (1995). The Hausdorff dimension and measure in generalized geometric graph directed construction. Acta Mathematica Scientica 17, 162-167.
  66.  Hu, D., Xiao, Y., Liu, L, Wu, J. and Zhao, X. (1995). Random fractal. Advances in Mathematics, 24, 193-214.
  67.  Zhao, X. and Su, F. (1994). The exact Hausdorff measure of a fractal set. China Science Bulletin 39, 968-971.
  68.  Zhao, X. (1994). Hausdorff dimension of sample paths for multi-parameter self-similar processes. Acta Mathematica Scientica 14, 264-271.
  69. Gan, S. and Zhao, X. (1991). Local convergence of martingale-like sequences and the strong law of large numbers. Northeastern Mathematical Journal 7, 87-103.
  70. Zhao, X. (1990). Strong law of large numbers for B-valued martingales. Journal of Mathematics (China) 10, 85-92.
  71. Zhao, X. (1990). Convergence rates of random sequences. Journal of Hubei University (Natural Science) 12, 228- 236. 228-236.