What is the best way to report the standard error when publishing Kaplan-Meier plots? In my field (Vascular Surgery), practitioners loosely refer to the "10% error" cutoff as the point at which to stop drawing the KM curve. I am interpreting this as the *standard error of the cumulative hazard*, although I'm having a difficult time finding some guidelines about this (perhaps I am not searching the correct terms or references). My KM figures contain typically two curves that I am comparing using the logrank test. Inspecting the ?survfit.object yields the std.err field that gives the standard error for each timepoint on the curve.
Is it recommended that I just name the timepoint at which the standard error exceeds 0.1 in the figure legend? For example, "The standard error exceeds 10% at time points beyond 394 days." I have seen this strategy in other publications. What is your approach? Thanks for your help, PCJ ______________________________________________ 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.
