On 2021-04-05 03:34, Sorkin, John wrote:
Colleagues, I am using the coxph to model survival time. How do I plot an adjusted Kaplan Meir plot resulting from coxph? The code I would like to run would start with: # run cox model fit1Cox <- coxph(surv_object ~age+sex,data=mydata) I have no idea what would follow.
You should look at ?survfit.coxph in the survival package, especially the 'newdata' argument.
I would like to plot adjusted KM curves for men vs. women at age 65.
Then I guess that you should stratify on sex: fit <- coxph(surv_object ~ age + strata(sex), data = mydata) sfit <- survfit(fit, newdata = data.frame(age = 65)) plot(sfit) HTW, Göran
Thank you, John [[alternative HTML version deleted]] ______________________________________________ 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.
______________________________________________ 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.