Synonyms
Diagnostic sensitivity; Diagnostic specificity; Likelihood ratio (positive and negative)
Definition
The predictive value model for laboratory tests is an analytical data-based system for documenting the overall performance of a diagnostic laboratory test in terms of its ability to accurately distinguish the presence of a disease state with a positive test result from the absence of a disease state with a negative test result.
Introduction
The differential diagnosis of a disease state begins with a thorough evaluation of a patient using a physical examination and clinical history (Galen 1982). To confirm or support a suspicion of a disease state, a laboratory test is often performed. The analyte that is measured in the test should provide information about the disease state being evaluated. To be considered useful to the diagnostic process, a laboratory test needs to be able to detect or confirm the disease state or disorder, provide information about the pathological process,...
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Aamir, A., Hamilton, R.G. (2014). Predictive Value Model for Laboratory Tests: Diagnostic Sensitivity, Diagnostic Specificity, Positive and Negative Predictive Value, Efficiency, Likelihood Ratio ([positive and negative]), Incidence and Prevalence. In: Mackay, I.R., Rose, N.R., Ledford, D.K., Lockey, R.F. (eds) Encyclopedia of Medical Immunology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9194-1_312
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DOI: https://doi.org/10.1007/978-1-4614-9194-1_312
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-9193-4
Online ISBN: 978-1-4614-9194-1
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