Dear R-users
I am trying to make an adjusted Kaplan-Meier curve (using the Survival package)
but I am having difficulty with
plotting it so that the plot only shows the curves for the adjusted results.
My data come from a randomised controlled trial, and I would like the adjusted
Kaplan-Meier
curve to only show two curves for the adjusted survival: one for those on
treatment (Treatment==1)
and another curve for those on placebo (Treatment==0).
My problem is that when I plot the survfit of my coxph, I think it displays a
curve for
every single individual factor in my coxph, whereas I would like it to only
display the
adjusted curves for when Treatment==1 and Treatment==0. How can I do this?
A simplified example of my code with only one effect-modifier is:
simple.cox.ethnicity <- coxph(Surv(whenfailed,failed) ~ factor(Treatment) +
factor(ethnicity)) #I've my data are attached already
survfit.simple.cox.ethnicity <- survfit(simple.cox.ethnicity,survmat) #survmat
is a data.frame that contains Treatment and ethnicity
plot(survfit.simple.cox.ethnicity, col=c("red","black"),
main="survfit.simple.cox", xlab="survival time", ylab="propotion surviving")
Thank you so much for your help.
Yours gratefully,
Brent Caldwell
______________________________________________
[email protected] 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.