Using the accelerated failure time model to analyze current status data with misclassified covariates-Reference-Cited by-同舟云学术

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Using the accelerated failure time model to analyze current status data with misclassified covariates

Published:2021-01-01 Issue:1 Volume:15 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Chen Baojiang¹,Qin Jing²,Yuan Ao³

Affiliation:

1. Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, School of Public Health in Austin, Austin, Texas, 78701, U.S.A.

2. National Institute of Allergy and Infectious Diseases, National Institutes of Health, MD 20892, U.S.A.

3. Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington DC, 20057 USA

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The concordance filter: an adaptive model-free feature screening procedure;Computational Statistics;2023-09-05

2. Analysis of Multivariate Survival Data under Semiparametric Copula Models;Canadian Journal of Statistics;2023-07-03

3. Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study;Journal of Applied Statistics;2022-10-21

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