English

Bootstrapping the Kaplan-Meier Estimator on the Whole Line

Statistics Theory 2016-05-19 v1 Statistics Theory

Abstract

This article is concerned with proving the consistency of Efron's (1981) bootstrap for the Kaplan-Meier estimator on the whole support of a survival function. While other works address the asymptotic Gaussianity of the estimator itself without restricting time (e.g. Gill, 1983, and Ying, 1989), we enable the construction of bootstrap-based time-simultaneous confidence bands for the whole survival function. Other practical applications include bootstrap-based confidence bands for the mean residual life-time function or the Lorenz curve as well as confidence intervals for the Gini index.

Cite

@article{arxiv.1605.05615,
  title  = {Bootstrapping the Kaplan-Meier Estimator on the Whole Line},
  author = {Dennis Dobler},
  journal= {arXiv preprint arXiv:1605.05615},
  year   = {2016}
}

Comments

18 pages

R2 v1 2026-06-22T14:03:50.516Z