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http://dx.doi.org/10.7465/jkdi.2015.26.3.569

A comparison of the statistical methods for testing the equality of crossing survival functions  

Lee, Youn Ju (Department of Statistics, Korea University)
Lee, Jae Won (Department of Statistics, Korea University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.3, 2015 , pp. 569-580 More about this Journal
Abstract
Log-rank is widely used for testing equality of two survival functions, and this method is efficient only under the proportional hazard assumption. However, crossing survival functions are common in practice. Therefore, many approaches have been suggested to test equality of them. This study considered several methods; Renyi type test, modified Kolmogorov-Smirnov and Cramer-von Mises test, and weighted Log-rank test, which can be applied when the survival functions cross, and simulated power of those methods. Based on the simulation results, we provide the useful information to choose a suitable approach in a given situation.
Keywords
Crossing survival functions; equality of survival; log-rank test; survival function;
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Times Cited By KSCI : 2  (Citation Analysis)
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