ROCt-package: Time-dependent ROC curves estimation
Description
Compute time-dependent ROC curve using Kaplan-Meier (KM) estimator or the k-nearest neighbor's (KNN) adaptation. Both approaches are developed for traditional survival analysis (all-cause analysis) and for the the additive relative survival analysis.Details
ll{
Package: ROCt
Type: Package
Version: 0.8
Date: 2013-12-20
License: GPL (>=2)
LazyLoad: yes
}
Compute time-dependent ROC curve using Kaplan-Meier (KM) or the k-nearest neighbor's (KNN) adaptation. Both approaches are developed for traditional survival analysis (all-cause analysis) and for the additive relative survival analysis:
rl{
allcause.ROCt This function performs the characteristics of a time-dependent ROC curve.
net.ROCt This function performs the characteristics of a net time-dependent ROC curve .
}References
Heagerty PJ., Lumley T., Pepe MS. (2000) Time-dependent ROC Curves for Censored Survival Data and a Diagnostic Marker. Biometrics, 56, 337-344.
Pohar M., Stare J. (2006) Relative survival analysis in R. Computer methods and programs in biomedicine, 81, 272-278.
Pohar M., Stare J., Esteve J. (2012) On Estimation in Relative Survival. Biometrics, 68, 113-120.
Akritas MG. (1994) Nearest neighbor estimation of a bivariate distribution under random censoring. Annals of Statistics, 22, 1299-1327.
Lorent M., Giral M., Foucher Y. (2013) Net time-dependent ROC curves: a solution for evaluating the accuracy of a marker to predict disease-related mortality. Statistics in Medicine. In press.See Also
URL: http://www.divat.fr