Generalized M-estimation for the accelerated failure time model

DOI10.1080/02331888.2015.1032970zbMath1359.62423OpenAlexW1966815696MaRDI QIDQ5739653

Liming Xiang, Tao Hu, Heng-Jian Cui, Si Yang Wang

Publication date: 19 July 2016

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10220/43609

zbMATH Keywords

robustnessinfluence functionright censoringaccelerated failure time modelKaplan-Meier weightsgeneralized M-estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Robust accelerated failure time regression
• Consistent estimators in nonlinear regression for a noncompact parameter space
• Estimation in a linear regression model with censored data
• On asymptotics of t-type regression estimation in multiple linear model
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• The strong law under random censorship
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• Quantile regression under random censoring.
• The central limit theorem under random censorship
• Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data
• A large sample study of rank estimation for censored regression data
• \(M\)-estimation in regression models for censored data
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• Robust semiparametric M-estimation and the weighted bootstrap
• Nonparametric Estimation of the Multivariate Distribution Function in a Censored Regression Model with Applications
• Asymptotic properties of a generalized kaplan-meier estimator with some applications
• UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
• Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions
• Survival Analysis With Quantile Regression Models
• M-estimation in censored linear models
• Rank-based inference for the accelerated failure time model
• Censored Regression Quantiles
• Breakdown points of t-type regression estimators
• Locally Weighted Censored Quantile Regression
• Robust Statistics
• Robust Statistics

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