| 学术论文： |
1. Wang, P., Li, D., and Sun, J. (2020) A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model. Biometrics, online. 2. Wang, P., Zhou, Y., and Sun, J. (2020) A new method for regression analysis of interval‑censored data with the additive hazards model. Journal of the Korean Statistical Society, 49, 1131-1147. 3. Wang, S., Wang, C., Wang, P., and Sun, J. (2020) Estimation of the additive hazards model with case K interval-censored failure time data in the presence of informative censoring. Computational Statistics and Data Analysis, 144, online. 4. 王培洁, 周勇. 左截断区间删失数据在比例风险率模型下回归分析的新方法. 数理统计与管理, 2020年第5期, 857-864页. 5. Wang, P., Zhao, H., Du, M., and Sun, J. (2018) Inference on semiparametric transformation model with general interval-censored failure time data. Journal Journal of Nonparametric Statistics, 30, 758-773. 6. Wang, S., Wang, C., Wang, P., and Sun, J. (2018) Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data. Computational Statistics and Data Analysis, 125, 1-9. 7. Wang, P.，Tong, X., and Sun, J. (2018) A semiparametric regression cure model for doubly censored data. Lifetime Data Analysis, 24, 492-508. 8. Li, S.，Hu, T.，Wang, P., and Sun, J. (2018) A class of semiparametric transformation models for doubly censored failure time data. Scandinavian Journal of Statistics, 45, 682-698. 9. Zhang, H.，Wang, P., and Sun, J. (2018) Regression analysis of interval-censored failure time data with possibly crossing hazards. Statistics in Medicine, 37,768-775. 10. Li, S., Hu, T., Wang, P., and Sun, J. (2017) Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments. Computational Statistics and Data Analysis, 110, 75-86. 11. Wang, P., Zhao, H., and Sun, J. (2016) Regression analysis of case K interval-censored failure time data in the presence of informative censoring. Biometrics, 72, 1103-1112. 12. Wang, P., Tong, X., Zhao, S., and Sun, J. (2015) Regression analysis of left-truncated and case I interval-censored data with the additive hazards model. Communications in Statistics-Theory and Methods, 44, 1537-1551. 13. Wang, P., Tong, X., Zhao, S., and Sun, J. (2015) Efficient estimation for the additive hazards model in the presence of left-truncation and interval censoring. Statistics and Its Interface, 8, 391-402. 14. Zhao, S.，Hu, T., Ma, L., Wang, P., and Sun, J. (2015) Regression analysis of informative current status data with the additive hazards model. Lifetime Data Analysis, 21, 241-258. Zhao, S.，Hu, T., Ma, L., Wang, P., and Sun, J. (2015) Regression analysis of interval-censored failure time data with the additive hazards model in the presence of informative censoring. Statistics and Its Interface, 8, 367-377. |
