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 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
