The accuracy of normal approximations in censoring models

DOI10.1080/10485259208832522zbMath1263.62054OpenAlexW2022387079MaRDI QIDQ3432306

Noël Veraverbeke, Paul Janssen

Publication date: 16 April 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259208832522

zbMATH Keywords

quantilescensorshipKaplan-Meier estimatorBerry-Esseen theoremsACL-estimatorgeneral random censorship modelproportional hazards model of randomquantiles of the residual survival time

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Limit theorems in probability theory (60F99)

Related Items (6)

The modified bootstrap error process for Kaplan-Meier quantiles ⋮ Bootstrapping quantiles in the proportional hazards model of random censorship ⋮ Relative deficiency of quantile estimators for left truncated and right censored data ⋮ Cramer type large deviations for survival function estimators ⋮ The Paradoxical Nature of The Proportional Hazards Model of Random Censorship ⋮ Distributional convergence under proportional censorship when covariables are present

Cites Work

• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• Strong embedding of the estimator of the distribution function under random censorship
• Approximation Theorems of Mathematical Statistics
• Quantile estimation in the proportional hazards model of random censorship
• A LIL type result for the product limit estimator

This page was built for publication: The accuracy of normal approximations in censoring models