Prognostic ROC curve is an alternative graphical approach to represent the discriminative capacity of the marker: a receiver operating characteristic (ROC) curve by plotting 1 minus the survival in the highrisk group against 1 minus the survival in the lowrisk group. This package contains functions to assess prognostic ROC curve. The user can enter the survival according to a model previously estimated or the user can also enter individual survival data for estimating the prognostic ROC curve by using KaplanMeier estimator. The area under the curve (AUC) corresponds to the probability that a patient in the lowrisk group has a longer lifetime than a patient in the highrisk group. The prognostic ROC curve provides complementary information compared to survival curves. The AUC is assessed by using the trapezoidal rules. When survival curves do not reach 0, the prognostic ROC curve is incomplete and the extrapolations of the AUC are performed by assuming pessimist, optimist and noninformative situations.
Package details 


Author  Y. Foucher <Yohann.Foucher@univnantes.fr> and C. Combescure <Christophe.Combescure@hcuge.ch> 
Date of publication  20131127 17:03:15 
Maintainer  Y. Foucher <Yohann.Foucher@univnantes.fr> 
License  GPL (>= 2) 
Version  0.7 
URL  www.rproject.org www.divat.fr 
Package repository  View on CRAN 
Installation 
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