The central limit theorem under censoring

Michael G. Akritas

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


The central limit theorem for integrals of the Kaplan-Meier estimator is obtained. The basic tools are the martingale methods developed by Gill and the identities and inequalities of Efron and Johnstone. The assumptions needed are both weaker and more transparent than those in the recent literature, and the resulting variance expression is simpler, especially for distributions with atoms.

Original languageEnglish (US)
Pages (from-to)1109-1120
Number of pages12
Issue number6
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Statistics and Probability


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