From Normal Distribution to Diagnostic Test
DOI:
https://doi.org/10.33393/gcnd.2015.840Keywords:
Normal distribution, Sensibility, Specificity, ROC curvesAbstract
Distribution curves of laboratory parameters in healthy and sick subjects are quite similar, leading to a “grey zone” referred to subjects that could be not correctly identified and classified. To identify a cut-off value, ROC (Receiver Operating Characteristics) curves can be applied; they represent the graphic relationship between sensibility (true positive) and specificity (false positive), depending on cut-off values variability. ROC curve subtends AUC (Area Under the Curve); AUC's width is directly related to discerning power of any validated statistical test. (Epidemiology_statistics)
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Authors contributing to Giornale di Clinica Nefrologica e Dialisi (GCND) agree to publish their articles under the CC-BY-NC 4.0 license, which allows third parties to re-use the work without permission as long as the work is properly referenced and the use is non-commercial.