nonbinroc: software for evaluating diagnostic accuracies with non-binary gold standards

Clicks: 234
ID: 225581
2007
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Ranked #24 of 98 articles by views in open geospatial data, software and standards

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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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nguyen2007journalnonbinroc: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Paul Nguyen
Journal open geospatial data, software and standards
Year 2007
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