Regression analysis with censored data: Extensions of Koul-Susarla-Van Ryzin approach

DOI10.1016/S0167-7152(98)00159-XzbMath0943.62102MaRDI QIDQ1304095

Mai Zhou

Publication date: 10 September 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

residualsaccelerated failure time models

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Estimating the marginal survival function in the presence of time dependent covariates ⋮ Confidence regions for the quantile function in the Cox proportional hazards model

Uses Software

• R
• S-PLUS

Cites Work

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• Large sample theory for an estimator of the mean survival time from censored samples
• Regression analysis with randomly right-censored data
• Asymptotic normality of the `synthetic data' regression estimator for censored survival data
• Linear regression with censoring
• On using stratification in the analysis of linear regression models with right censoring
• Asymptotic normality of a class of adaptive statistics with applications to synthetic data methods for censored regression
• A conversation with Sir David Cox
• Robust regression: Asymptotics, conjectures and Monte Carlo
• Linear Models, Random Censoring and Synthetic Data
• Linear regression with censored data
• M-estimation in censored linear models
• Least squares regression with censored data
• Nonparametric Estimation and Regression Analysis With Left-Truncated and Right-Censored Data

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