Ordered multiple-class ROC analysis with continuous measurements

Christos T. Nakas, Constantin T. Yiannoutsos

Research output: Contribution to journalArticle

138 Scopus citations

Abstract

Receiver operating characteristic (ROC) curves have been useful in two-group classification problems. In three- and multiple-class diagnostic problems, an ROC surface or hyper-surface can be constructed. The volume under these surfaces can be used for inference using bootstrap techniques or U-statistics theory. In this article, ROC surfaces and hyper-surfaces are defined and their behaviour and utility in multi-group classification problems is investigated. The formulation of the problem is equivalent to what has previously been proposed in the general multi-category classification problem but the definition of ROC surfaces here is less complex and addresses directly the narrower problem of ordered categories in the three-class and, by extension, the multi-class problem applied to continuous and ordinal data. Non-parametric manipulation of both continuous and discrete test data and comparison between two diagnostic tests applied to the same subjects are considered. A three-group classification example in the context of HIV neurological disease is presented and the results are discussed.

Original languageEnglish (US)
Pages (from-to)3437-3449
Number of pages13
JournalStatistics in Medicine
Volume23
Issue number22
DOIs
StatePublished - Nov 30 2004

Keywords

  • Bootstrap
  • Diagnostic testing
  • Neuropsychological testing
  • ROC analysis
  • U-statistics

ASJC Scopus subject areas

  • Epidemiology

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