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Theory and Method

Small-Sample Results for the Kaplan-Meier Estimator

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Pages 141-144 | Received 01 Jul 1980, Published online: 12 Mar 2012
 

Abstract

Whereas much is known about the asymptotic properties of the Kaplan-Meier (1958) estimator (KME) of a survival function, exact results for small samples have been difficult to obtain. In this article, we obtain an exact expression for the αth moment (α > 0) of the KME under a model of proportional hazards. This enables us, under proportional hazards, to (a) study the bias of the KME, and (b) compare the exact variance of the KME to its asymptotic variance.

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