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

José Bustos
Marine Biologist
Master Apllied Stat Program
University of Concepción


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