ROCt-package: Time-Dependent ROC Curve Estimators and Expected Utility...

In ROCt: Time-Dependent ROC Curve Estimators and Expected Utility Functions

Description

Compute ROC curve and expected utility for medical decision making, with and without censoring.

Details

Package:	ROCt
Type:	Package
Version:	0.9.5
Date:	2017-02-17
License:	GPL (>=2)
LazyLoad:	yes

Several functions are available:

crude.ROCt	This function allows the estimation of a crude time-dependent ROC curve,
\mbox{ }	respecting the definition proposed by Heagerty et al. (2000).
net.ROCt	This function allows the estimation of net time-dependent ROC curve, i.e.
\mbox{ }	when the only cause of death is due to the disease.
EUt	The expected utility theory allows the estimation of optimal
	cut-of for medical decision making.
AUC	This function computes the area under ROC curve using the trapezoidal rule
\mbox{ }	based on two vectors of sensitivities and specificities.
adjusted.ROC	This function allows for the estimation of ROC curve by taking into account possible
\mbox{ }	confounding factors (IPW or placement values estimators).
adjusted.ROCt	This function allows for the estimation of time-dependent ROC curve by taking
\mbox{ }	into account possible confounding factors (IPW estimator).

Author(s)

Y. Foucher <[e-mail]>

References

Heagerty PJ., Lumley T., Pepe MS. (2000) Time-dependent ROC Curves for Censored Survival Data and a Diagnostic Marker. Biometrics, 56, 337-344. <doi:10.1111/j.0006-341X.2000.00337.x>

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, 33, 2379-89. <doi:10.1002/sim.6079>

Dantan E., Foucher Y., Lorent M., Giral M., Tessier P. (2016) Optimal threshold estimator of a prognostic marker by maximizing a time-dependent expected utility function for a patient-centered stratified medicine. Statistical Methods in Medical Research, 0, 1-13. <doi:10.1177/ 0962280216671161>

Le Borgne F. et al. (2017) Standardized and weighted time-dependent ROC curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors. Manuscript submitted.

ROCt documentation built on May 2, 2019, 3:25 p.m.