Confidence intervals for the symmetry point: an optimal cutpoint in continuous diagnostic tests
| Autor: | Mónica López-Ratón, Elisa M. Molanes-López, Emilio Letón, Carmen Cadarso-Suárez |
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| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Databases Factual Concordance Youden's J statistic Coronary Artery Disease 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Neoplasms Statistics Confidence Intervals Humans Computer Simulation Pharmacology (medical) Point (geometry) 030212 general & internal medicine Sensitivity (control systems) 0101 mathematics Mathematics Pharmacology Diagnostic Tests Routine Pivotal quantity Confidence interval Empirical likelihood Focus (optics) |
| Zdroj: | Pharmaceutical Statistics. 15:178-192 |
| ISSN: | 1539-1604 |
| DOI: | 10.1002/pst.1734 |
| Popis: | Continuous diagnostic tests are often used for discriminating between healthy and diseased populations. For this reason, it is useful to select an appropriate discrimination threshold. There are several optimality criteria: the North-West corner, the Youden index, the concordance probability and the symmetry point, among others. In this paper, we focus on the symmetry point that maximizes simultaneously the two types of correct classifications. We construct confidence intervals for this optimal cutpoint and its associated specificity and sensitivity indexes using two approaches: one based on the generalized pivotal quantity and the other on empirical likelihood. We perform a simulation study to check the practical behaviour of both methods and illustrate their use by means of three real biomedical datasets on melanoma, prostate cancer and coronary artery disease. |
| Databáze: | OpenAIRE |
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