Dear R-users,
I have two questions regarding validation and calibration of Survival
regression models.
1. I am trying to calibrate and validate a cox model using val.surv.
here is my code:
f.1<-cph(Surv(time,event)~age, x=T, y=T, data=train)
test1<-test[,"age"]
val.surv(f.1, newdata=data.frame(test1), u=10)
but I get an error message:
Error in val.surv(f.1, newdata = data.frame(testi), u = 10) :
dims [product 1797] do not match the length of object [2496]
In addition: Warning message:
In est.surv + S[, 1] :
longer object length is not a multiple of shorter object length
I ran the example in the r-documentation but couldn't extract dxy from result.
What am I doing wrong?
2. In validate and calibrate cph functions. If it is frailty fit, does the
the bootstrap resample clusters or just individuals
regards,
Salvo Mac
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