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.
Cattaneo, M., Malighetti, P., Spinelli, D. (2017). Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package. THE STATA JOURNAL, 17(4), 1015-1023 [10.1177/1536867X1801700415].
Estimating receiver operative characteristic curves for time-dependent outcomes: The stroccurve package
Spinelli D.
2017
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.| File | Dimensione | Formato | |
|---|---|---|---|
|
Cattaneo-2017-Stata J-VoR.pdf
Solo gestori archivio
Descrizione: PDF of the article is available free of charge on the publisher's website
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Tutti i diritti riservati
Dimensione
221.41 kB
Formato
Adobe PDF
|
221.41 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


