研究領域

學歷

經歷

學術著作

1. Shen Chung-Wei, Yang Wen-Jia, Chien Li-Chu* (2026). Distribution-free model selection of marginal mean regression and association structure for incomplete longitudinal ordinal data under the proportional odds assumption. Journal of Statistical Computation and Simulation (Accepted)

2. 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, 40: 143.

3. 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.

4. Shen Chung-Wei, Chen Chun Shu* (2024). Estimation and selection for spatial zero-inflated count models. Environmetrics, 35(4), e2847.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. Shen, Chung-Wei, Chen Yi-Hau* (2013). Model Selection of Generalized Estimating Equations with Multiply Imputed Longitudinal Data. Biometrical Journal, 55: 899-911.

13. Shen, Chung-Wei, Chen, Yi-Hau* (2012). Model Selection for Generalized Estimating Equations Accommodating Drop-out Missingness. Biometrics, 68: 1046–1054.

14. 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.

15. Tsou, Tsung-Shan*, Shen, Chung-Wei (2008). Parametric robust inferences for correlated ordinal data. Statistics in Medicine, 27: 3550-3562.

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.

專題研究計畫

(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.

(8) Semiparametric Inference for Correlated Data Comprising Multiple Groups. Most 115-2118-M-194-002-MY2. Project Period: Aug 1, 2026- October 31, 2028. Principal investigator.