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
Making Gehan-Breslow test for Survival data
1 message · Cody Hamilton