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Overview: The purpose of a diagnostic test is to classify or predict the presence or absence of a condition or a disease. The clinical performance of a diagnostic test is based on its ability to correctly classify subjects into relevant subgroups. This research paper discusses the different methods used to quantify the diagnostic ability of a test (sensitivity, specificity, the Likelihood Ratio (LR), area under the Receiver Operating Curve (ROC)), the probability that a test will give the correct diagnosis (positive predictive value and negative predictive value), and regression methods to analyze diagnostic accuracy data.
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