I am interested Andrea is whether you ever established why your R2 was 1.
I have had a similar situation previously.
My main issue though, which I'd be v grateful for advice on, is why I am
obtaining such negative values -0.3 for Somers Dxy using validate.cph from
the Design package given m
A new version of Design will be posted to CRAN in the next 2 days.
After than, update your system, including an update to the survival
package. Then re-try.
Your formula is wrong as it can't be negative. LR should be the
likelihood ratio chi-square stat : -2 times the difference in the two
Hello All,
as I´m new to R and survival analysis, I´ve got a question about the
Design::validate function:
My Code:
cox <- cph(Surv(t,status) ~ var1 + var2 + var3, data=data, x=TRUE, y=TRUE,
surv=TRUE)
cox.val <- validate(cox, B=10, dxy=TRUE, pr=TRUE);
My output (cox.val):
inde
3 matches
Mail list logo
