Survival analysis, Panel count data, Longitudinal data analysis, Recurrent event data, Analysis of high-dimensional survival models, semiparametric and nonparametric methods, Large deviations and moderate deviations theory with applications in survival models.
Gao, F., Xiong, J. and Zhao, X., Moderate deviations and nonparametric inference for monotone functions. Annals of Statistics (2017), to appear.
Zhao, X., Wu, Y. and Yin, G., Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters, Bernoulli (2017), to appear.
Cao, Y., Huang, J., Liu, Y. and Zhao, X., Sieve Estimation of Cox Models with Latent Structures, Biometrics 72 (2016), 1086-1097.
Zhao, X., Deng, S., Liu, L and Liu, L., Sieve estimation in semiparametric modeling of longitudinal data with informative observation times, Biostatistics, 15 (2014), 140-153.
Zhao, X. and Sun, J. (2011). Nonparametric comparison for panel count data with unequal observation processes, Biometrics, 67 (2011), 770-779.
Zhao, X., Zhou, J. and Sun L. (2011). Semiparametric transformation models with time-varying coefficients for recurrent and terminal events, Biometrics, 67 (2011), 401-414.
Gao, F. and Zhao, X., Delta method in large deviations and moderate deviations for estimators, Annals of Statistics, 39 (2011), 1211-1240.
Balakrishnan, N. and Zhao, X., New multi-sample nonparametric tests for panel count data, Annals of Statistics, 37 (2009), 1112-1149.
Sun, J., Park, D-H, Sun, L. and Zhao, X., Semiparametric regression analysis of longitudinal data with informative observation times. Journal of the American Statistical Association, 100 (2005), 882-889.
Sun, J., Zhao, Q. and Zhao, X., Generalized log-rank test for interval-censored failure time. Scandinavian Journal of Statistics, 32 (2005), 49-57.