1. Maximum of the weighted Kaplan-Meier tests for the two-sample censored data.
- Author
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Lee, Seung-Hwan
- Subjects
- *
ESTIMATION theory , *COMPUTER simulation , *STATISTICS , *COMBINATORIAL designs & configurations , *APPROXIMATION theory , *MATHEMATICAL functions , *GAUSSIAN processes , *ASYMPTOTIC distribution - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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