smoothROCtime-package {smoothROCtime}

Smooth Time-Dependent ROC Curve Estimation

Description

Computes smooth estimations for the Cumulative/Dynamic and Incident/Dynamic ROC curves, in presence of right censorship, based on the bivariate kernel density estimation of the joint distribution function of the Marker and Time-to-event variables.

Details

• funcen: Bivariate kernel density estimation of the joint density function of the (marker, time-to-event) variable.

• stRoc: Smooth estimations for Cumulative/Dynamic and Incident/Dynamic ROC curves.

• plot.sROCt: Plots of Cumulative/Dynamic and Incident/Dyanmic ROC curve estimations.

Author(s)

Susana Diaz-Coto <[e-mail]>

Maintainer: Susana Diaz-Coto <[e-mail]>

References

P. Martinez-Camblor and J. C. Pardo-Fernandez. Smooth time-dependent receiver operating characteristic curve estimators. Statistical Methods in Medical Research, 27(3):651-674, 2018. https://doi.org/10.1177/0962280217740786.

P. Martinez-Camblor, G. F-Bayon, and S. Perez-Fernandez. Cumulative/dynamic ROC curve estimation. JOURNAL of Statistical Computation and Simulation, 86(17):3582-3594, 2016. https://doi.org/10.1080/00949655.2016.1175442.

T. Duong. Bandwidth matrices for multivariate kernel density estimation. Ph.D. Thesis, University of Western, Australia, 2004.

L. Li, T. Green, and B. Hu. A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data. Statistical Methods in Medical Research, 27(8), 2016. https://doi.org/10.1177/0962280216680239.

See Also

CRAN package ks is used in this package.