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? [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
