Robust bias estimation for Kaplan-Meier survival estimator with jackknifing

DOI10.1080/15598608.2015.1062833zbMath1426.62293arXiv1312.4058OpenAlexW1675942199MaRDI QIDQ2323145

J. Ewart H. Shaw, Md Hasinur Rahaman Khan

Publication date: 30 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.4058

zbMATH Keywords

biascensoringKaplan-Meier estimatorjackknifejackknifing

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Uses Software

• jackknifeKME

Cites Work

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• Variable selection for survival data with a class of adaptive elastic net techniques
• Estimating the mean life time using right censored data
• A combinatoric approach to the Kaplan-Meier estimator
• Two-sided bias bound of the Kaplan-Meier estimator
• Problems arising from jackknifing the estimate of a Kaplan-Meier integral
• The strong law under random censorship
• The jackknife estimate of variance of a Kaplan-Meier integral
• Nonparametric Estimation from Incomplete Observations
• A Partially Parametric Estimator of Survival in the Presence of Randomly Censored Data
• Estimation of Survival Distributions Under Right-Censoring When Sample Size is Random
• Censored Data and the Bootstrap
• Estimating the median survival time
• Unbiased Estimation of Functionals Under Random Censorship
• On least-squares regression with censored data

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