Chung Wei Shen

Chung Wei Shen

office: Room 448

Phone: (05)2720411#66132

Fax: (05)2720497

Email: cswshen@ccu.edu.tw / weya071444@yahoo.com.tw

Specialized Areas

  • Longitudinal data analysis
  • robust statistical inference

Degree Institution

  • Ph.D. in Statistics, National Central University

Rank

  • Associate Professor

Publication 

Journal Articles

List of Publications & Grants

Journal papers *: corresponding author

  1. Shen Chung-Wei, Hsu Bu-Ren, Hsu Chia-Ming, Chen Chun Shu* (2026).  Efficient estimation for flexible spatial zero-inflated models with environmental applications. Stochastic Environmental Research and Risk Assessment. (Accepted)

  2. Shen Chung-Wei*, Shen Yu-Chin (2025). Estimation and selection for Spatio Temporal zero-inflated count models. Journal of the Chinese Statistical Association, 63: 132–166.

  3. Chien Li-Chu, Chang Li-Ying, Shen Chung-Wei*. (2023) A model selection criterion for clustered survival analysis with informative cluster size. Pharmaceutical Statistics, 22: 79-95.   
  4. Chen Chun Shu, Shen Chung‐Wei*. (2022) Distribution-free model selection for longitudinal zero inflated count data with missing responses and covariates. Statistics in medicine, 41: 3180-3198.
  5. Shen Chung-Wei, Chen Yi-Hau*, Chen Chun Shu* (2021) Distribution-free regression model selection with a nested spatial correlation structure. Spatial Statistics, 41: 100476.
  6. Chen Chun Shu, Shen Chung‐Wei*. (2018) Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes. Statistics in medicine, 37: 2982-2997.
  7. Shen Chung-Wei, Chen Yi-Hau*. (2018) Model selection for semiparametric marginal mean regression accounting for within-cluster subsampling variability and informative cluster size. Biometrics, 74: 934-943.
  8. Shen Chung-Wei, Chen Yi-Hau* (2018) Joint model selection of marginal mean regression and correlation structure for longitudinal data with missing outcome and covariates. Biometrical Journal, 60: 20-33.
  9. Shen, Chung-Wei*, Chen, Yi-Hau (2015) Model Selection for Marginal regression analysis of longitudinal data with missing observations and covariate measurement error. Biostatistics, 16: 740-753.
  10. Shen, Chung-Wei; Chen Yi-Hau* (2013) Model Selection of Generalized Estimating Equations with Multiply Imputed Longitudinal Data. Biometrical Journal, 55: 899-911.
  11. Shen, Chung-Wei; Chen, Yi-Hau* (2012) Model Selection for Generalized Estimating Equations Accommodating Drop-out Missingness. Biometrics, 68: 1046–1054.
  12. Shen, Chung-Wei; Tsou, Tsung-Shan*; N. Balakrishnan (2011) Robust  Likelihood Inference for Regression Parameters In Partially-Linear Models. Computational Statistics & Data Analysis, 55: 1696-1714.
  13. Tsou, Tsung-Shan; Shen, Chung-Wei. (2008) Parametric robust inferences for correlated ordinal data. Statistics in medicine, 27: 3550- 3562.

Conference papers

1. Shen Chung Wei, Tsou Tsung-Shan* (2018) Robust Likelihood Inference for Regression Parameters in Generalized Partially Linear Models for Count Data. International Conference on Robust Statistics, Leuven –Belgium.

 

Grants

(1) Model Selection for Longitudinal Studies with Missing Responses and Covariate Measurement error. NSC 102-2118-M-194 -004-MY2. Project Period: October 1, 2013- October 31, 2015. Principal investigator.

(2) Robust Likelihood Inference for Regression Parameters in Generalized Partially Linear Models for Count Data. Most 104-2118-M-194-002. Project Period: Aug 1, 2015- October 31, 2016. Principal investigator.

(3) Model Selection for marginal regression analysis of Incomplete Longitudinal Response or Covariates Data. Most 105-2118-M-194-002-MY2. Project Period: Aug 1, 2016- October 31, 2018. Principal investigator.

(4) Model Selection Based on Resampling Approaches for Longitudinal Data.  Most 107-2118-M-194-001-MY2. Project Period: Aug 1, 2018- October 31, 2020. Principal investigator.

(5) Model Selection for marginal regression analysis of Spatial Data Most 109-2118-M-194-001-MY2. Project Period: Aug 1, 2020- October 31, 2022. Principal investigator.

(6) Application of semi-parametric likelihood function in disease propagation model: estimation method for correlated zero inflated count data Most 111-2118-M-194-002-MY2. Project Period: Aug 1, 2022- October 31, 2024. Principal investigator.

(7) Joint model selection of marginal mean regression and correlation structure for ordinal longitudinal data with missing outcome and covariates Most 113-2118-M-194-002-MY2. Project Period: Aug 1, 2024- October 31, 2026. Principal investigator.