A jackknife-based versatile test for two-sample problems with right-censored data

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題名:	A jackknife-based versatile test for two-sample problems with right-censored data
作者:	Chang, Y.-M.a , Chen, C.-S.b, Shen, P.-S.
貢獻者:	Department of Statistics, Tunghai University Taichung
關鍵詞:	data driven;linear combination test;right-censored data;weighted Kaplan-Meier test;weighted logrank test
日期:	2012
上傳時間:	2013-05-15T09:06:48Z (UTC)
摘要:	For testing the equality of two survival functions, the weighted logrank test and the weighted Kaplan-Meier test are the two most widely used methods. Actually, each of these tests has advantages and defects against various alternatives, while we cannot specify in advance the possible types of the survival differences. Hence, how to choose a single test or combine a number of competitive tests for indicating the diversities of two survival functions without suffering a substantial loss in power is an important issue. Instead of directly using a particular test which generally performs well in some situations and poorly in others, we further consider a class of tests indexed by a weighted parameter for testing the equality of two survival functions in this paper. A delete-1 jackknife method is implemented for selecting weights such that the variance of the test is minimized. Some numerical experiments are performed under various alternatives for illustrating the superiority of the proposed method. Finally, the proposed testing procedure is applied to two real-data examples as well. ? 2012 Copyright Taylor and Francis Group, LLC.
關聯:	Journal of Applied Statistics Volume 39, Issue 2, February 2012, Pages 267-277
顯示於類別:	[統計學系所] 期刊論文

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