Description Details Author(s) References

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

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). |

Y. Foucher <Yohann.Foucher@univ-nantes.fr>

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.

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