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ORCIDPao-Sheng Shen
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- affiliation: Tunghai University, Department of Statistics, Taiwan
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2020 – today
- 2023
[j29]Jen-Yu Lee
, Pao-Sheng Shen, K. F. Cheng:
A comparison of bootstrap approaches for homogeneity test based on dichotomous outcome in meta-analysis. Commun. Stat. Simul. Comput. 52(9): 4218-4229 (2023)- 2022
- [j28]Chyong-Mei Chen, Pao-sheng Shen, Ting-Hsuan Lee:
A gamma-frailty model for interval-censored data with dependent examination times: a computationally efficient approach. Commun. Stat. Simul. Comput. 51(10): 6071-6082 (2022) - [j27]Pao-sheng Shen:
Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring. Comput. Stat. 37(1): 29-42 (2022) - 2021
- [j26]Yu-Mei Chang, Pao-Sheng Shen, Yu-Hsin Tang:
Confidence interval for the difference between two median survival times with semiparametric transformation models. Commun. Stat. Simul. Comput. 50(3): 633-649 (2021) - [j25]Pao-Sheng Shen, Yi Liu:
Marginal regression of recurrent gap times based on semiparametric transformation cure model. Commun. Stat. Simul. Comput. 50(5): 1383-1397 (2021) - [j24]Chun-Lung Su, Pao-sheng Shen:
On consistency of the monotone NPMLE of survival function under the mixed case interval-censored model with left truncation. Comput. Stat. 36(3): 1871-1883 (2021) - 2020
- [j23]Pao-sheng Shen, Huichen Hsu:
Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data. Comput. Stat. Data Anal. 144: 106862 (2020)
2010 – 2019
- 2019
- [j22]Pao-sheng Shen, Hsin-Jen Chen, Wen-Harn Pan, Chyong-Mei Chen:
Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction. Comput. Stat. Data Anal. 140: 74-87 (2019) - [j21]Pao-sheng Shen:
The IPW estimator for the joint distribution function of the gap times from recurrent event data. Commun. Stat. Simul. Comput. 48(4): 957-967 (2019) - 2018
- [j20]Chyong-Mei Chen, Pao-sheng Shen, Yi-Kuan Tseng:
Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time. Comput. Stat. Data Anal. 128: 116-127 (2018) - 2017
- [j19]Pao-Sheng Shen:
Semiparametric analysis of transformation models with dependently left-truncated and right-censored data. Commun. Stat. Simul. Comput. 46(3): 2474-2487 (2017) - [j18]Pao-Sheng Shen:
A semiparametric regression cure model for interval-censored and left-truncated data. Commun. Stat. Simul. Comput. 46(5): 3690-3700 (2017) - [j17]Pao-Sheng Shen:
Estimation of the joint survival function for successive duration times. Commun. Stat. Simul. Comput. 46(8): 6672-6684 (2017) - 2015
- [j16]Pao-Sheng Shen:
Parameter Estimation in Regression for Long-Term Survival Rate from Left-Truncated and Right-Censored Data. Commun. Stat. Simul. Comput. 44(4): 958-978 (2015) - [j15]Pao-Sheng Shen:
Additive Transformation Models for Clustered Doubly Censored Data. Commun. Stat. Simul. Comput. 44(8): 1988-2002 (2015) - 2014
- [j14]Pao-Sheng Shen:
Aalen's Additive Risk Model for Left-Truncated and Right-Censored Data. Commun. Stat. Simul. Comput. 43(5): 1006-1019 (2014) - [j13]Pao-sheng Shen:
Simple nonparametric estimators of the bivariate survival function under random left truncation and right censoring. Comput. Stat. 29(3): 641-659 (2014) - [j12]Pao-sheng Shen:
Semiparametric regression analysis for clustered doubly-censored data. Comput. Stat. 29(3): 813-828 (2014) - 2013
- [j11]Pao-Sheng Shen:
Regression M-estimators with One Modified Form of Doubly Censored Data. Commun. Stat. Simul. Comput. 42(3): 603-612 (2013) - [j10]Pao-Sheng Shen:
Additive Mixed Effect Model for Clustered Doubly Censored Data. Commun. Stat. Simul. Comput. 42(10): 2295-2307 (2013) - [j9]Pao-sheng Shen:
Regression analysis of interval censored and doubly truncated data with linear transformation models. Comput. Stat. 28(2): 581-596 (2013) - 2012
- [j8]Pao-Sheng Shen:
Estimation of the Bivariate Cause-Specific Distribution Function with Left-Truncated Competing Risks Data. Commun. Stat. Simul. Comput. 41(1): 99-110 (2012) - [j7]Pao-Sheng Shen:
Empirical Likelihood Ratio for Linear Transformation Models with Doubly Censored Data. Commun. Stat. Simul. Comput. 41(4): 531-543 (2012) - 2011
- [j6]Pao-sheng Shen:
Nonparametric estimation with doubly censored and truncated data. Comput. Stat. 26(1): 145-157 (2011) - [j5]Pao-sheng Shen:
Semiparametric analysis of transformation models with left-truncated and right-censored data. Comput. Stat. 26(3): 521-537 (2011) - 2010
- [j4]Pao-sheng Shen:
Nonparametric estimation of the bivariate survival function for one modified form of doubly censored data. Comput. Stat. 25(2): 203-213 (2010)
2000 – 2009
- 2009
- [j3]Pao-Sheng Shen:
Semiparametric analysis of survival data with left truncation and right censoring. Comput. Stat. Data Anal. 53(12): 4417-4432 (2009) - [j2]Tsung-I Lin, Hsiu J. Ho, Pao-Sheng Shen:
Computationally efficient learning of multivariate t mixture models with missing information. Comput. Stat. 24(3): 375-392 (2009) - [j1]Pao-sheng Shen:
A simulation study for a class of central composite designs with nested sub-experiment. Comput. Stat. 24(3): 481-495 (2009)
Coauthor Index
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