This function performs the characteristics of a time-dependent ROC curve based on k-nearest neighbor's (knn) estimator or only based on the Kaplan and Meier estimator.
● Data Source:
CranContrib
● Keywords: Akritas, ROC, Time-dependent
● Alias: crude.ROCt
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1 images
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This function allows for the estimation of time-dependent ROC curve by taking into account possible confounding factors (IPW estimator).
● Data Source:
CranContrib
● Keywords: IPW, ROC, Time-dependent
● Alias: adjusted.ROCt
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1 images
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This function computes the area under ROC curve by using the trapezoidal rule.
● Data Source:
CranContrib
● Keywords: AUC
● Alias: AUC
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0 images
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This function allows for the estimation of ROC curve by taking into account possible confounding factors (IPW or placement values estimators).
● Data Source:
CranContrib
● Keywords: IPW, ROC
● Alias: adjusted.ROC
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1 images
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This function allows the estimation of an optimal cut-off for medical decision making between two treatments A and B from a prognostic marker by maximizing the expected utility in a time-dependent context. Only the times-to-event of the group B are observed.
● Data Source:
CranContrib
● Keywords: Cut-off, Time-dependent, Utility
● Alias: EUt1
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1 images
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This function allows the estimation of an optimal cut-off for medical decision making between two treatments A and B from a prognostic marker by maximizing the expected utility in a time-dependent context.
● Data Source:
CranContrib
● Keywords: Cut-off, Time-dependent, Utility
● Alias: EUt2
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1 images
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Compute ROC curve and expected utility for medical decision making, with and without censoring.
● Data Source:
CranContrib
● Keywords: ROC, Time-dependent, Utility
● Alias: ROCt-package
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0 images
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This function performs the characteristics of a net time-dependent ROC curve (Lorent, 2013) based on k-nearest neighbor's (knn) estimator or only based on the Pohar-Perme estimator (Pohar, 2012).
● Data Source:
CranContrib
● Keywords: Akritas, Net survival, ROC
● Alias: net.ROCt
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1 images
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