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R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please click on this link and choose your preferred CRAN mirror.

The separation between two survival curves represents the magnitude of the association between the intervention and the time-to-event. A statistical test can determine the statistical significance of the difference but does not quantify its magnitude. The purpose of the prognostic ROC curve is to represent this uncertainty: the AUC is the probability that the time-to-event is improved in one arm compared to the other. This package is designed for computing such prognostic ROC curve.

More precisely, this R package contains functions to assess prognostic ROC curve. The user enters herself/himself the survival data according to the model she/he choose or she/he enters individual survival data. The area under the prognostic ROC curve is assessed by using the trapezoidal rules. Extrapolated areas (when survival curves do not reach 0) are performed by assuming pessimist, optimist and non-informative situations.

Download the prognosticROC package and save the resulting file in your computer

Install the prognosticROC package

  • Shut down R if it is running.
  • Using a command-line window navigate (using the "cd" command) to the directory where you saved the file and issue the command: sudo R CMD INSTALL prognosticROC_0.x.tar.gz.
  • Shut down R if it is running.
  • Restart R from the Start Menu.
  • From the Packages menu, choose the Install package(s) from local zip files.
  • Navigate to and choose the file you just downloaded:
If you find any bugs in prognosticROC package, please e-mail us and we will take your comments into account in the next version.


This work was supported by a grant from the French National Agency of Research (ANR-11-JSV1-0008-01)