Message-ID: <4C7D0185E1C6D64AAFB18A2281B262B805A613BF77@EXIRV01.am.edwards.lcl>
Date: 2007-07-10T21:55:10Z
From: Cody Hamilton
Subject: Making Gehan-Breslow test for Survival data
Jose,
The Gehan-Breslow test provides a generalization of the Kruskal-Wallis test for censored data. As an alternative, try using survdiff with rho=1. This method uses weights w(ti) = S(ti) (where S is the Kaplan-Meier estimate of survival) which yields Fleming and Harrington's version of the Kruskal-Wallis test for censored data. This test will give more weight to early differences in the hazards.
Regards,
-Cody
Cody Hamilton
Edwards Lifesciences
Hi all,
The survivals functions can be tested by the Log-rank test and others, for
example the Gehan-Breslow. The graham breslow work with the alpha values.
But I don't know how is the Gehan-Breslow test with R. Somebody know a
type function?.. or other suggestions? Any help will be really
appreciated
Jos? Bustos
Marine Biologist
Master Apllied Stat Program
University of Concepci?n