Dr. Tsung-Shan Tsou 鄒 宗 山

Professor
Graduate Institute of Statistics
National Central University, Taiwan.

Office: M608
E-mail: tsou@mx.stat.ncu.edu.tw
Tel: (03) 4267220

  • 1983 B.S. Dept. Math., Natl, Taiwan Univ.

  • 1987 M.S Inst. Stat., Natl. Central Univ.

  • 1992 Ph.D Dept. Biostat., The Johns Hopkins Univ.

  • 1992- Assoc. Prof. Grad. Inst. of Stat., NCU.

  • 2005- Prof. Grad. Inst. of Stat., NCU.

　　本人近年來致力於強韌統計推論方法的研究上。研 究之方向是探討如何對一些實作概似（working likelihood）函數做修正，而修正後的概似函數，不論資料真正的分配為何，在大樣本的情形下，皆為正確的概似函數。如，在廣義線性模型的架構之 下，針對迴歸係數的推論方面，提出了強韌迴歸（robust regression）方法。針對珈瑪（gamma）及常態（normal）迴歸模型分別提出了強韌珈瑪迴歸與強韌常態迴歸模型。而針對個數資料 （count data）也提出了強韌的迴歸模型。相關的研究還針對二個母體的變異數比較問題上，提出了較目前常用的統計方法，更為有效（efficient）的有母數 （parametric）強韌方法。

  1. Liang, K.Y., Tsou, T-S. (1992). Empirical bayes and conditional inference with many nuisance parameters. Biometrika 79: 261-270.
  2. Tsou, T-S and Royall, RM*. (1995). Robust Likelihoods. Amer. Stat. Ass. 90: 316-320.
  3. Royall, R.M.* and Tsou, T-S (2003). Interpreting statistical evidence using imperfect models: Robust adjusted likelihood functions. JRSS-B, 6: 391-404.
  4. Tsou, T-S (2007). A simple and exploratory way to determine the mean–variance relationship in generalized linear models. Statistics in Medicine, 26: 1623–1631.
  5. Tsou, T-S*, Chen, C-H (2008). Comparing several means of dependent populations of count—A parametric robust approach. Statistics in Medicine, 27: 2576–2585.
  6. Tsou, T-S*, Shen, C-W (2008). Parametric robust inferences for correlated ordinal data. Statistics in Medicine, 27: 3550–3562.
  7. Tsou, T-S. (2008). Robust likelihood inferences about regression parameters for general bivariate continuous data. Metrika, 71: 101-115.
  8. Chien, L-C, Tsou, T-S (2011). Deletion diagnostics for generalized linear models using the adjusted Poisson likelihood function. Journal of Statistical Planning and Inference, 141: 2044-2054.
  9. Shen, C-W, Tsou, T-S*, Balakrishnan, N. (2011) Robust Likelihood Inference for Regression Parameters in Partially Linear Models, Computational Statistics and Data Analysis, 55: 1696-1714.
  10. Tsou, T-S. (2011). Likelihood inferences for the link function without knowing the true underlying distributions. Computational Statistics, 26: 507-519.
  11. Tsou, T-S (2011). Determining the mean-variance relationship in generalized linear models – a parametric robust way. Journal of Statistical Planning and Inference, 141: 197-203.
  12. Tsou, T-S*, Chen, W-C (2013) Estimation of intra-cluster correlation coefficient via the failure of Bartlett's second identity. Computational Statistics, 28: 1681-1698.
  13. Chien, L-C, Tsou, T-S (2014). Parametric simultaneous robust inferences for regression coefficient under generalized linear models. Journal of Statistical Computation and Simulation, 84: 850-867.
  14. Chien, L-C, Tsou, T-S (2014). Robust influence diagnostics for generalized linear models with continuous responses. Statistica Neerlandica, 68: 324–343.
  15. Tsou, T-S * and Yang, C-C. (2015) Universal surrogate likelihood functions for nonnegative continuous data. Metrika, 78: 635-646.
  16. Tsou, T-S (2015). A universal robust method for analyzing bivariate continuous and proportion data. Journal of Statistical Computation and Simulation, 85: 3700-3707.
  17. Tsou, T-S* and Liu, H-Y. (2015). Testing the homogeneity of proportions for clustered binary data without knowing the correlation structure. Journal of Applied Statistics, 42: 1706-1715.
  18. Tsou, T-S. (2016). Robust likelihood inference for multivariate correlated count data. Computational Statistics 31: 845–857.
  19. Tsou, T-S* and Hsiao, W-C (2016). Likelihood inference for correlated binary data without any information about the joint distributions. Communication in Statistics –Theory and Method DOI: 10.1080/03610926.2015.1033553.
  20. Tsou, T-S. (2016). Expedient universal robust likelihood method for general dispersed count data. Journal of Statistical Computation and Simulation, 86: 2985-2994. DOI: 10.1080/00949655.2016.1144187.
  21. Tsou, T-S. (2018). A new likelihood approach to inference about predictive values of diagnostic tests in paired designs. Statistical Methods in Medical Research, 27: 541-548, doi:10.1177/0962280216634755.
  22. Tsou, T-S. (2018). A robust likelihood approach to inference about the difference between two multinomial distributions in paired designs. Statistical Methods in Medical Research, 27: 3077-3091. doi:1177/0962280217691558.
  23. Tsou, T-S. (2019). A robust likelihood approach to inference about the kappa coefficient for correlated binary data. Statistical Methods in Medical Research, 28: 1188–1202, DOI: 10.1177/0962280217751519.
  24. Tsou, T-S. (2019). Robust likelihood inference for diagnostic accuracy measures for paired organs. Statistical Methods in Medical Research, 28: 3163–3175, DOI: 10.1177/0962280218798170.
  25. Tsou, T-S. (2019). A reproducible robust likelihood approach to inference about marginal characteristics of binary data in paired settings. Statistical Methods in Medical Research, DOI: 10.1177/0962280219832232.
  26. Tsou, T-S, Hsiao, W-C. (2019). Inference about binocular sensitivity and specificity of screening tests for paired organs. Statistical Methods in Medical Research, DOI: 10.1177/0962280219880310.