Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Paul Nguyen
Title: nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards
Abstract: ROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary. In these situations, traditional ROC methods applied have lead to biased and uninformative outcomes. This article introduces nonbinROC, software for R that implements nonparametric estimators proposed by Obuchowski (2005) for estimating and comparing diagnostic tests' accuracies when the gold standard is measured on a continuous, ordinal or nominal scale. The results produced from these estimators are interpreted in the same manner as in ROC analysis but are not associated with any ROC curve.

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Paper: nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards     Download PDF (Downloads: 5582)
Supplements:
nonbinROC_1.0.tar.gz: R source package Download (Downloads: 1092; 7KB)
v21i10.R.zip: v21i10.R: R example code from the paper Download (Downloads: 1053; 872B)

DOI: 10.18637/jss.v021.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.