Hi - I am using the survfit() function to produce Kaplan-Meier survival curves for several different groups.
survfit (Surv() ~ cohort, data=d) Everything works fine, but I'd like to do something different. I have a 12 month survival curve (base) and I also have two survival curves based on some experiment that only go out to 3 months. What I would like to do is take the 3 month realized curves and apply the 3+ month hazard from the base curve to those. 1) is this a reasonable approach? (short of building a full-fledged model) 2) is there a standard way of doing this? I was going to read the survival curves, calc the hazard (S(t) / S(t-1)), apply it to the realized (short) curves. Related to that, from the survfit() object, how do I read various curves specific to a particular cohort? Everything appears to be concatenated together but I am guessing there is some way to separate based on particular strata. Thanks in advance. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
