Home  >>  Archives  >>  Volume 17 Number 4  >>  st0509

The Stata Journal
Volume 17 Number 4: pp. 1015-1023



Subscribe to the Stata Journal
cover

Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package

Mattia Cattaneo
Department of Management
Information and Production Engineering
University of Bergamo
Bergamo, Italy
[email protected]
Paolo Malighetti
Department of Management
Information and Production Engineering
University of Bergamo
Bergamo, Italy
[email protected]
Daniele Spinelli
Department of Management
Information and Production Engineering
University of Bergamo
Bergamo, Italy
[email protected]
Abstract.  Receiver operating characteristic (ROC) curves are an established method for assessing the predictive capacity of a continuous biomarker for a binary outcome. However, in some cases, outcomes are time dependent. Although the literature has proposed packages for performing ROC analysis of time-independent outcomes, a package is not yet available for analyzing the predictive capacity of continuous biomarkers when the binary outcome is time dependent. In this article, we present stroccurve, a new command for performing ROC analysis within a survival framework.
Terms of use     View this article (PDF)

View all articles by these authors: Mattia Cattaneo, Paolo Malighetti, Daniele Spinelli

View all articles with these keywords: stroccurve, receiver operating characteristic curves, time-de-pen-dent outcome, survival ROC

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS