Assessing the censored linear regression model using martingale approximation

DOI10.1080/03610918.2018.1485938OpenAlexW2902239856MaRDI QIDQ5087944

Seung-Hwan Lee

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1485938

zbMATH Keywords

martingalecensored dataestimating functionaccelerated failure time modellack-of-fit test

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Checking the censored two-sample accelerated life model using integrated cumulative hazard difference
• Estimation in a linear regression model with censored data
• Estimating regression parameters using linear rank tests for censored data
• Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models
• Checking semiparametric transformation models with censored data
• Nonparametric Estimation from Incomplete Observations
• Linear regression with censored data
• Regression with censored data
• Accelerated failure time models for counting processes
• Checking the Cox model with cumulative sums of martingale-based residuals
• Extended Weighted Log-Rank Estimating Functions in Censored Regression
• Rank-based inference for the accelerated failure time model
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples
• Goodness‐of‐fit tests for parametric models in censored regression

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