A class of semi parametric regressions for the accelerated failure time model

DOI10.1093/biomet/84.1.73zbMath1058.62521OpenAlexW2130632957MaRDI QIDQ4364843

Michael P. Jones

Publication date: 1997

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/84.1.73

zbMATH Keywords

Censored dataSurvival analysisKendall rank correlationLinear rank statisticTheil-Sen estimator.

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (8)

Buckley-James Type Estimator for Censored Data with Covariates Missing by Design ⋮ Unnamed Item ⋮ Unbiasedness of the Theil–Sen estimator ⋮ Asymptotics of the Theil–Sen estimator in the simple linear regression model with a random covariate ⋮ Consistency and asymptotic distribution of the Theil-Sen estimator ⋮ Estimation of Regression Parameters and the Hazard Function in Transformed Linear Survival Models ⋮ Semiparametric least squares support vector machine for accelerated failure time model ⋮ Score Estimating Equations from Embedded Likelihood Functions Under Accelerated Failure Time Model

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