It is possible to calculate the c-index for time dependent outcomes (such as disease) using the survivalROC package in R. My question is : is it possible to produce a p-value for the c-index that is calculated (at a specific point in time)?
If I were to use a standard ROC I understand that I can use Wilcoxon test to calculate the p-value of the AUC (here's a simple example). However, because this is survival data I don't think I can use quite the same approach. I have thought of just calculating the concordance index using the survcomp package and getting the p-value from that, however survivalROC
predicts the c-index at a specific time, whereas the concordance index doesn't seem to.
Any suggestions?
risksetROC
(by P.J. Heagerty) andboot
. CIs are obtained, as said, trough bootstrapping (x-axis is time in months). i.imgur.com/Gf0g5.png $\endgroup$