Adaikalavan Ramasamy wrote:
> Thank you ! So to be absolutely sure, the C-index in my case is
> 0.5 * ( 0.3634 + 1 ) = 0.6817 right ?
correct
>
> If the above calculation is correct then why do I get the following :
>
> rcorr.cens( predict(fit), Surv( GBSG$rfst, GBSG$cens ) )[ "C Index" ]
Thank you ! So to be absolutely sure, the C-index in my case is
0.5 * ( 0.3634 + 1 ) = 0.6817 right ?
If the above calculation is correct then why do I get the following :
rcorr.cens( predict(fit), Surv( GBSG$rfst, GBSG$cens ) )[ "C Index" ]
C Index
0.3115156
( I am aware that is a re
Adaikalavan Ramasamy wrote:
> I am doing some coxPH model fitting and would like to have some idea
> about how good the fits are. Someone suggested to use Frank Harrell's
> C-index measure.
>
> As I understand it, a C-index > 0.5 indicates a useful model. I am
No, that just means predictions are
I am doing some coxPH model fitting and would like to have some idea
about how good the fits are. Someone suggested to use Frank Harrell's
C-index measure.
As I understand it, a C-index > 0.5 indicates a useful model. I am
probably making an error here because I am getting values less than 0.5
on
