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Abstract:
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Diagnostic tests are essential in the field of modern medicine. One of the main factors needed for interpreting a diagnostic test is the discriminatory accuracy which is the ability of the test to distinguish between two groups of subjects, usually non-diseased and diseased subjects. For a continuous-scale diagnostic test, the area under the receiver operating characteristic (ROC) curve, AUC, is a useful one-number summary index for the diagnostic accuracy of the test. When only a particular region of the ROC curve is of interest, the partial AUC is a more appropriate index for the diagnostic accuracy. In this paper, we develop seven confidence intervals for the partial AUC under the semiparametric models for the diseased and non-diseased populations by using the normal approximation, bootstrap and empirical likelihood methods.
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