Estimating Receiver Operative Characteristic Curves for Time-dependent Outcomes: The Stroccurve Package. (December 2017)

• Record Type: Journal Article
• Authors: Cattaneo, Mattia; Malighetti, Paolo; Spinelli, Daniele
• Is Part Of: Stata journal. Volume 17:Number 4(2017)
• Page Start: 1015
• Page End: 1023
• Publication Date: 2017-12
• Subjects: st0509 -- stroccurve -- receiver operating characteristic curves -- time-dependent outcome -- survival ROC; Statistics -- Periodicals; Statistics -- Computer programs -- Periodicals; 001.422
• DOI: 10.1177/1536867X1801700415
• Languages: English
• ISSNs: 1536-867X

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 presentstroccurve, a new command for performing ROC analysis within a survival framework.