ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves.

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Abstract

It is vital for clinicians to understand and interpret correctly medical statistics as used in clinical studies. In this review, we address current issues and focus on delivering a simple, yet comprehensive, explanation of common research methodology involving receiver operating characteristic (ROC) curves. ROC curves are used most commonly in medicine as a means of evaluating diagnostic tests.

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Journal

Journal ID (iso-abbrev): Surgery

Title: Surgery

Publisher: Elsevier BV

ISSN (Electronic): 1532-7361

ISSN (Print): 0039-6060

Publication date (Electronic): June 2016

Volume: 159

Issue: 6

Affiliations

[1 ] Price Institute of Surgical Research, Hiram C. Polk Jr MD Department of Surgery, University of Louisville, Louisville, KY.

[2 ] Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY.

[3 ] Price Institute of Surgical Research, Hiram C. Polk Jr MD Department of Surgery, University of Louisville, Louisville, KY. Electronic address: s0gala01@louisville.edu.

Article

Publisher Item ID: S0039-6060(16)00066-0

DOI: 10.1016/j.surg.2015.12.029

PubMed ID: 26962006

SO-VID: e0a88b7e-4232-429a-a931-b6a8b96a193b

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