Buckley-James-type of estimators under the classical case cohort design

DOI10.1007/s10463-006-0086-0zbMath1136.62405OpenAlexW2014928411MaRDI QIDQ2477009

George Y. C. Wong, Menggang Yu, Qi Qing Yu

Publication date: 12 March 2008

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-006-0086-0

zbMATH Keywords

survival dataself-consistent algorithmright-censorshipcase-cohort studyBuckley-James estimatornasal cancer

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Buckley-James Type Estimator for Censored Data with Covariates Missing by Design ⋮ Fast accelerated failure time modeling for case-cohort data

Cites Work

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• Cox Regression with Incomplete Covariate Measurements
• Estimation of a Joint Distribution Function with Multivariate Interval-Censored Data when the Nonparametric MLE is not Unique
• Maximum Likelihood Estimation for Cox's Regression Model Under Case-Cohort Sampling
• Additive hazards regression for case-cohort studies

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