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September, 1989 Right Censoring and Martingale Methods for Failure Time Data
Martin Jacobsen
Ann. Statist. 17(3): 1133-1156 (September, 1989). DOI: 10.1214/aos/1176347260

Abstract

Statistical models are considered for (partial) observation of independent, identically distributed failure times, subjected to censoring from the right. A minimal class of censoring patterns is determined under the assumption that the failure intensities are as they would have been without censoring. This class is then used to discuss the statistical models for right censored survival data, where, e.g., the Kaplan-Meier estimator exploits all available information about the failure time distribution. The counting process description of survival data is used throughout.

Citation

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Martin Jacobsen. "Right Censoring and Martingale Methods for Failure Time Data." Ann. Statist. 17 (3) 1133 - 1156, September, 1989. https://doi.org/10.1214/aos/1176347260

Information

Published: September, 1989
First available in Project Euclid: 12 April 2007

zbMATH: 0688.62047
MathSciNet: MR1015142
Digital Object Identifier: 10.1214/aos/1176347260

Subjects:
Primary: 62G05
Secondary: 60G55 , 62M09

Keywords: counting process , intensity process , martingale estimator , multiplicative intensity model , Survival analysis

Rights: Copyright © 1989 Institute of Mathematical Statistics

Vol.17 • No. 3 • September, 1989
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