Randomization in survival analysis
In this paper, we estimate the distribution function and the expectation of an increasing process. The data are supposed to be censored. The novel idea is to extend the Kaplan-Meier approach to such processes, by a randomization method. A martingale application is also provided.
Year of publication: |
2007
|
---|---|
Authors: | Aletti, Giacomo ; Saada, Diane |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 5, p. 497-502
|
Publisher: |
Elsevier |
Subject: | Kaplan-Meier estimator Fuzzy times |
Saved in:
Online Resource
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