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.

(2017). Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package [journal article - articolo]. In THE STATA JOURNAL. Retrieved from http://hdl.handle.net/10446/118426

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

Cattaneo, Mattia;Malighetti, Paolo;Spinelli, Daniele
2017-01-01

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.
articolo
2017
Cattaneo, Mattia; Malighetti, Paolo; Spinelli, Daniele
(2017). Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package [journal article - articolo]. In THE STATA JOURNAL. Retrieved from http://hdl.handle.net/10446/118426
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/118426
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