It is possible to calculate the c-index for time dependent outcomes (such
as disease) using the
survivalROC<http://cran.r-project.org/web/packages/survivalROC/survivalROC.pdf>
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<http://rss.acs.unt.edu/Rdoc/library/verification/html/roc.area.html>).
However, because this is survival data I don't think I can use quite the
same approach. I've had suggestions to bootstrap and get a confidence
interval, which I think is a good thing to do moving forward, but I would
still like to know if I can get a p-value.

Any suggestions?

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