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Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 3
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Original Articles

Semiparametric analysis of transformation models with dependently left-truncated and right-censored data

Pao-Sheng ShenDepartment of Statistics, Tunghai University, Taichung, TaiwanCorrespondence[email protected]
Pages 2474-2487 | Received 18 Oct 2014, Accepted 01 May 2015, Published online: 18 Dec 2016

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Malka Gorfine, Nir Keret, Asaf Ben Arie, David Zucker & Li Hsu. (2021) Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data. Journal of the American Statistical Association 116:535, pages 1155-1167.
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Articles from other publishers (5)

Ke Wu, Liang Wang, Li Yan & Yuhlong Lio. (2021) Statistical Inference of Left Truncated and Right Censored Data from Marshall–Olkin Bivariate Rayleigh Distribution. Mathematics 9:21, pages 2703.
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哲子 沈. (2021) Parametric Estimation for Partial Linear Models with Double Truncated Data. Advances in Applied Mathematics 10:12, pages 4365-4372.
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Pao-sheng Shen & Huichen Hsu. (2020) Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data. Computational Statistics & Data Analysis 144, pages 106862.
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Vinicius F. Calsavara, Agatha S. Rodrigues, Ricardo Rocha, Vera Tomazella & Francisco Louzada. (2019) Defective regression models for cure rate modeling with interval-censored data. Biometrical Journal 61:4, pages 841-859.
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Chyong-Mei Chen & Pao-Sheng Shen. (2017) Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data. Lifetime Data Analysis 24:2, pages 250-272.
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