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Original Articles

Maximum of the weighted Kaplan–Meier tests for the two-sample censored data

Pages 1017-1026 | Received 28 Oct 2008, Accepted 14 Jan 2010, Published online: 13 Dec 2010
 

Abstract

In this paper, some versatile test procedures are considered, which are useful for the case where the association of survival functions is unclear. These procedures are based on a maximum of a class of the weighted Kaplan–Meier statistics. The weight functions used in the procedures account for both the censored and non-censored data points. Numerical simulations with these weight functions show that, under various levels of censoring, the proposed procedures perform well across a wide range of alternative configurations. Implementation of the proposed procedures is illustrated in a real data example.

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