Estimations in homoscedastic linear regression models with censored data: An empirical process approach

DOI10.1214/aos/1030741090zbMath0911.62057OpenAlexW2067621358MaRDI QIDQ1383099

Fushing Hsieh

Publication date: 22 April 1999

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1030741090

zbMATH Keywords

time-dependent covariatesaccelerated failure time modelmartingale central limit theoremlog-rank testslocal confounding

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Inference from stochastic processes (62M99)

Related Items (3)

Empirical process approach in a two-sample location-scale model with censored data ⋮ Semiparametric efficient inferences for lifetime regression model with time-dependent covariates ⋮ Estimation of Regression Parameters and the Hazard Function in Transformed Linear Survival Models

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