Hello R users, I am analizing survival data (mostly uncensored) and want to extract the most out of it. Since I have more than one factor, I´ve read that the survival regression can help to test the interactions between factors, and then decide how to do the comparisons using the Log-rank test (survdiff). 1- if I chose the Weibull distribution, does the output inform the goodness of fit to it? perhaps in this part of the output...
Weibull distribution Loglik(model)= -1302.8 Loglik(intercept only)= -1311 Chisq= 16.49 on 11 degrees of freedom, p= 0.12 Number of Newton-Raphson Iterations: 7 n= 873 2- one of my factors is "gender" (2 levels). With survreg, it appears as significant, but if I compare them with log-rank it turns not significant. Are they comparing different things? or is it a test power issue? thank you very much Eugenia Lic. M. E. Utgés INMeT Argentina -- View this message in context: http://r.789695.n4.nabble.com/Survreg-output-interpretation-tp4549368p4549368.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.