You asked about survival curves with age scale versus follow-up scale.
> fit1 <- coxph(Surv(time/365.25, status) ~ t5 + id + age, data=stanford2)
> surv1<- survfit(fit1)
> surv1
n events median 0.95LCL 0.95UCL
157.000 102.000 1.999 0.898 3.608
> summary(surv1, times=3)
time n.ri
Dear R users,
My question is more methodology related rather than specific to R usage. Using
time on study as time in a cox model, eg:
library(Design)
stanf.cph1=cph(Surv(time, status) ~ t5+id+age, data=stanford2, surv=T)
#In this case the 1000-day survival probability would be:
stanf.surv1=su
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