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Communications in Statistics - Theory and Methods Volume 42, 2013 - Issue 17
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Original Articles

Efficient Estimation for Linear Transformation Models with Current Status Data

Bin Zhang Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USACorrespondence[email protected]
,
Xingwei Tong School of Mathematical Sciences, Beijing Normal University, Beijing, P.R. China
,
Jing Zhang Department of Statistics, Miami University, Oxford, Ohio, USA
,
Chunjie Wang Mathematics School and Institute, Jilin University, The College of Basic Science, Changchun University of Technology, Changchun, P.R. China
&
Jianguo Sun Department of Statistics, University of Missouri, Columbia, Missouri, USA
Pages 3191-3203 | Received 22 Apr 2011, Accepted 05 Sep 2011, Published online: 12 Jul 2013

Citations (5)

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Read on this site (1)

Riyadh Al-Mosawi & Xuewen Lu. (2022) Efficient estimation of semiparametric varying-coefficient partially linear transformation model with current status data. Journal of Statistical Computation and Simulation 92:2, pages 416-435.
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Articles from other publishers (4)

Riyadh Rustam Al-Mosawi & Xuewen Lu. 2022. Advances and Innovations in Statistics and Data Science. Advances and Innovations in Statistics and Data Science 181 224 .
Sunyoung Shin, Yufeng Liu, Stephen R Cole & Jason P Fine. (2020) Ensemble estimation and variable selection with semiparametric regression models. Biometrika.
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Minggen Lu, Yan Liu & Chin-Shang Li. (2018) Efficient estimation of a linear transformation model for current status data via penalized splines. Statistical Methods in Medical Research 29:1, pages 3-14.
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Jie ZhouJiajia ZhangWenbin Lu. (2017) An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data. Statistics in Medicine 36:7, pages 1157-1171.
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