Open Access
September, 1985 Variance of the Kaplan-Meier Estimator and Its Quantiles Under Certain Fixed Censoring Models
Arthur J. Roth
Ann. Statist. 13(3): 1230-1238 (September, 1985). DOI: 10.1214/aos/1176349667

Abstract

For fixed censoring models that contain at most one intermediate censoring point, we obtain exact algebraic expressions for the asymptotic variances of (i) the quantiles of the Kaplan-Meier (KM, 1958) survival estimator and (ii) the KM estimator itself at fixed time points. The relationship between (i) and (ii) is found to be the same as the one derived by Sander (1975) and Reid (1981b) for the random censorship model. Confidence intervals for the quantiles based on (i) are briefly discussed and compared to previously known procedures. Although Greenwood's Formula is recommended over (ii) in practice because of its (desirable) conditioning on the observed censoring pattern, (ii) is of theoretical interest as an asymptotic limit for Greenwood's Formula in closed form.

Citation

Download Citation

Arthur J. Roth. "Variance of the Kaplan-Meier Estimator and Its Quantiles Under Certain Fixed Censoring Models." Ann. Statist. 13 (3) 1230 - 1238, September, 1985. https://doi.org/10.1214/aos/1176349667

Information

Published: September, 1985
First available in Project Euclid: 12 April 2007

zbMATH: 0594.62040
MathSciNet: MR803769
Digital Object Identifier: 10.1214/aos/1176349667

Subjects:
Primary: 62G05
Secondary: 62E20 , 62G10 , 62P10

Keywords: asymptotic inference , asymptotic variance , Density estimation , Fixed censoring , Greenwood's formula , Kaplan-Meier estimator , random censoring , survival distribution , survival quantiles

Rights: Copyright © 1985 Institute of Mathematical Statistics

Vol.13 • No. 3 • September, 1985
Back to Top