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Evaluation of Diagnostic Tests: Receiver Operating Characteristic Curves

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abstract_textpReceiver operator characteristic (ROC) curves are used in order to assess the accuracy of diagnostic tests whose results are continuous numeric variables. This curve is a graph of the sensitivity (or true positive rate) on the Y-axis as a function of 1-specificity (the false positive rate) on the Y-axis. ROC curves have multiple utilizations: I. The comparison of more tests for the same disease (bigger the area under the ROC curve (AUROC), better the test; an AUROC of 1 means a perfect test, while an AUROC of 0.5 means a useless test; 2. The choice of a cut-off point (in case of a test with a big AUROC, one can choose the closest point to the upper left corner of the graph, in order to have both a good sensitivity and a good specificity); 3. It shows how, for the same diagnostic test, there is a negotiation between sensitivity and specificity so that, for a cut-off with a very good sensitivity it will be a weak specificity and the reverse./p/abstract_text

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  • 来源
    《Romanian Journal of Laboratory Medicine》 |2011年第3期|303-306|共4页
  • 作者

    Baicus Cristian; Hristea Adriana; Baicus Anda;

  • 作者单位

    Carol Davila Univ Med, Colentina Univ Hosp, Dept Internal Med, Bucharest, Romania;

    Clin Res Unit RECIF Reseau Epidemiol Clin Int Fra, Bucharest, Romania;

    Prof Dr Matei Bals Natl Inst Infect Dis, Bucharest, RomaniaI Cantacuzino Natl Inst Res & Dev Microbiol Immun, Bucharest, Romania;

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