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Journal of Statistical Computation and Simulation Volume 90, 2020 - Issue 18
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Articles

Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates

Li-Pang ChenDepartment of Statistical and Actuarial Sciences, University of Western Ontario, London, CanadaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5440-5036
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Pages 3261-3300 | Received 28 Oct 2019, Accepted 21 Jul 2020, Published online: 07 Aug 2020

Citations (6)

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Read on this site (1)

Li-Pang Chen. (2023) Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. Journal of Computational and Graphical Statistics 0:0, pages 1-14.
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Articles from other publishers (5)

Li-Pang Chen. (2024) Feature screening via concordance indices for left-truncated and right-censored survival data. Journal of Statistical Planning and Inference 232, pages 106153.
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Li-Pang Chen & Bangxu Qiu. (2023) Analysis of Length-Biased and Partly Interval-Censored Survival Data with Mismeasured Covariates. Biometrics 79:4, pages 3929-3940.
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Fan Feng, Guanghui Cheng & Jianguo Sun. (2023) Variable Selection for Length-Biased and Interval-Censored Failure Time Data. Mathematics 11:22, pages 4576.
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Li-Pang Chen. (2023) De-noising boosting methods for variable selection and estimation subject to error-prone variables. Statistics and Computing 33:2.
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Li-Pang Chen. (2022) BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data. PLOS ONE 17:10, pages e0276664.
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