Jin-Jian Hsieh

office: Room 449

Phone: (05)2720411#66130

Fax: (05)2720497

Email: jinjian.hsieh@gmail.com / jjhsieh@ccu.edu.tw

倖存分析

生物統計

• 國立交通大學統計學博士 (2003/09 ～ 2007/06)

• 國立中正大學 數學系 教授 ( 2019/08 ～ 迄今)
• 國立中正大學 數學系 副教授 ( 2013/8～ 2019/07)
• 國立中正大學 數學系 助理教授 (2008/08 ～ 迄今)

期刊論文

1. Hsieh, J. J., Wang, W and Ding, A. A. (2008). Regression analysis based on semi-competing risks data. Journal of Royal Statistic Society, Ser. B, 70, 3-20. (SCIE)

2. Ding, A. A., Wang, W., Hsieh, J. J., and Shi, G. K. (2009). Marginal regression analysis for semi-competing risks data under dependent censoring. Scandinavian Journal of Statistics, 36, 481-500. (SCIE)

3. Hsieh, J. J. (2010). Estimation of Kendall’s tau from censored data. Computational Statistics and Data Analysis, 54, 1613-1621. (SCIE)

4. Hsieh, J. J., Ding, A. A., and Wang, W (2011). Regression analysis for recurrent events data under dependent censoring. Biometrics, 67, 719-729. (SCIE)

5. Hsieh, Y. H., Tseng, K. C., Hsieh, J. J., Tseng, C. W., Hung, T. H., Leung, F. W. (2011). Feasibility of colonoscopy with water infusion in minimally sedated patients in an Asian community setting. Journal of Interventional Gastroenterology, Volume 1, Issue 4, 185-190.

6. Hsieh, J. J. (2012). Regression model on gap times under recurrent event data. Far East Journal of Theoretical Statistics, 39, 141-161.

7. Hsieh, J. J. and Huang, Y. T. (2012). Regression analysis based on conditional likelihood approach under semi-competing risks data. Lifetime Data Analysis, 18, 302-320. (SCIE)

8. Hsieh, J. J., Ding, A. A., Wang, W., and Chi, Y. L. (2013). Quantile regression based on semi-competing risks data. Open Journal of Statistics, 3, 12-26.

9. Hsieh, Y. H., Lin, H. J., Hsieh, J. J., Tseng, K. C., Tseng, C. W.,  Hung, T. H., and Leung, F. W. (2013). Meperidine as the single sedative agent during esophagogastroduodenoscopy, a double-blind, randomized controlled study. Journal of Gastroenterology and Hepatology, 28(7), 1167-1173. (SCIE)

10. Hsieh, Y. H., Hsieh, J. J., and Leung, F. W. (2013). Water exchange and suction removal of all residual air in the colonic lumen both contribute to attenuation of insertion pain in a learning curve study. Journal of Interventional Gastroenterology, 3(1), 2-6.

11. Ding, A. A., Hsieh, J. J., and Wang, W. (2015). Local Linear Estimation of Concordance Probability with Application to Covariate Effects Models on Association for Bivariate Failure-Time Data. Lifetime Data Analysis, 21, 42-74. (SCIE)

12. Hsieh, J. J. and Hsiao, M. F. (2015). Quantile Regression Based on A Weighted Approach under Semi-Competing Risks Data. Journal of Statistical Computation and Simulation, 85, 2793-2807. (SCIE)

13. Hsieh, J. J. and Huang, W. C. (2015). Nonparametric Estimation and Test of Conditional Kendall’s Tau under Semi-Competing Risks Data and Truncated Data. Journal of Applied Statistics, 42, 1602-1616. (SCIE)

14. Hsieh, J. J. and Li, Z. J. (2017). Estimation and Test of Conditional Kendall's Tau under Bivariate Left-Truncation Data. Communications in Statistics – Theory and Methods, 46, 6635-6644. (SCIE)

15. Hsieh, J. J. and Chen, H. Y. (2017). A Testing Strategy for Two Crossing Survival Curves. Communications in Statistics –Simulation and Computation, 46, 6685-6696. (SCIE)

16. Hsieh, J. J. and Hsu, C. H. (2018). Estimation of the survival function with redistribution algorithm under semi-competing risks data. Statistics and Probability Letters, 132, 1-6. (SCIE)

17. Hsieh, J. J. and Wang, J. L. (2018). Quantile residual life regression based on semi-competing risks data. Journal of Applied Statistics, 45, 1770-1780. (SCIE)

18. Hsieh, J. J. and Wang, H. R. (2018). Quantile regression based on counting process approach under semi-competing risks data. Annals of the Institute of Statistical Mathematics, 70, 395-419. (SCIE)

19. Hsieh, J. J. and Pan, C. C. (2018). Linear regression analysis for symbolic interval data. Open Journal of Statistics, 8, 885-901.

20. Hsieh, J. J. and Chen, Y. Y. (2020). Survival function estimation of current status data with dependent censoring. Statistics and Probability Letters, 157, 1-6. (SCIE)

21. Hsieh, J. J. and Tsai, C. F. (2020). Dependence model selection for semi-competing risks data. Open Journal of Statistics, 10, 228-238.

22. Yeh, M. H., Wu, H. C., Lin, N. W., Hsieh, J. J., Yeh, J. W., Chiu, H. P., Wu, M. C., Tsai, T. Y., Yeh, C. C., and Li, T. M. (2020). Long-term use of combined conventional medicine and Chinese herbal medicine decreases the mortality risk of patients with lung cancer. Complementary Therapies in Medicine, 52. 102427. (SCIE)

23. Hsieh, J. J. and Li, J. P. (2022). Two-sample test based on empirical likelihood ratio under semi-competing risks data. Communications in Statistics – Theory and Methods, 51, 3301-3311. (SCIE)

24. Hsieh, J. J. and Chen, Y. J. (2022). Proportional Hazard Model and Proportional Odds Model under Dependent Truncated Data. Axioms, 11, 521. (SCIE)

25. Hsieh, J. J., Hsu, T. Y. and Hou, K. Y. (2023). Empirical Likelihood Ratio Tests for Two Sample Comparison under Current Status Data. Communications in Statistics –Simulation and Computation, 52, 425-441. (SCIE)

26. Hsieh, J. J. and Lai, H. W. (2023). Correlated log-rank test and partitioned log-rank test under semi-competing risks data. Accepted by Journal of the Chinese Statistical Association.

27. Hsieh, J. J. and Hsieh, C. C. (2023). Quantile regression based on the weighted approach with dependent truncated data. Mathematics, 11, 3669. (SCIE)

28. Hsieh, Jin-Jian ; Chen, Pin-Han, 2024. Quantile regression based on the counting process approach under dependent truncated data. Journal of Statistical Computation and Simulation, DOI10.1080/00949655.2024.2403515

研討會論文

1. Ding, A. A., Hsieh, J. J. and Wang, W. (2014). Association Parameters Regression for Bivariate Failure-Time Data. Advances in Applied and Pure Mathematics, Proceedings of the 2st International Conference on Mathematical, Computational and Statistical Sciences, J. Balicki (Eds.).

1. 復發事件資料之迴歸分析. 97-2118-M-194-003-MY2. Project Period: 2008/08/01-2010//07/31.

2. 半競爭風險資料與截切資料之條件Kendall’s Tau無母數估計與檢定.  99-2118-M-194-001-. Project Period: 2010/08/01-2011/07/31.

3. 半競爭風險資料與截切資料之分量迴歸分析. 100-2118-M-194-003-MY2. Project Period: 2011/08/01-2013/07/31.

4. 利用”插補法”,”計數過程法”,”遞迴權重法”探討半競爭風險資料下迴歸分析與分量迴歸. 102-2118-M-194-001-MY2. Project Period: 2013/08/01-2015/07/31.

5. 利用重新分配演算法探討相關設限資料,半競爭風險資料與相關現狀資料之存活函數估計. 104-2118-M-194-003-MY2. Project Period: 2015/08/01-2017/10/31

6. miR-193a 之雙重表基因調控及其卵巢癌之臨床應用研究. 104-2320-B-194-003-. Project Period: 2015/08/01-2016/07/31.

7. 半競爭風險資料與現狀資料下利用經驗概似比值方法探討雙樣本檢定. 106-2118-M-194-003-MY2. Project Period: 2017/08/01-2019/10/31.

8. 相依現狀資料迴歸分析與半競爭風險資料模型診斷. 108-2118-M-194-001-MY2. Project Period: 2019/08/01-2021/10/31.

9. 相依現狀資料分量迴歸分析. 110-2118-M-194-002-MY2. Project Period: 2021/08/01-2023/07/31.