Dear John,
I think that what you're looking for is
plot(survfit(fit1Cox, newdata=data.frame(age=rep(65, 2),
sex=factor("female", "male"))))
assuming, of course, that sex is a factor with levels "female" and
"male".
I hope this helps,
John
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 2021-04-04 9:34 p.m., 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.
>
> I would like to plot adjusted KM curves for men vs. women at age 65.
>
> Thank you,
> John
>
>
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