The Likelihood Ratio and Its Graphical Representation
Biochem Med (Zagreb). Jun 15;29(2):020101, 2019
DOI: 10.11613/BM.2019.020101
7 Pages Posted: 24 Apr 2020
Date Written: 2019
Abstract
Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important methods for interpreting test results. The Bayesian factor, the so-called likelihood ratio, has not always been well-understood. In this article, we try to discuss the likelihood ratio and its value for a specific test result, a positive or negative test result, and a range of test results, along with their graphical representations.
Keywords: ROC Curve, Diagnostic Tests, Likelihood Ratio
Suggested Citation: Suggested Citation
Habibzadeh, Farrokh and Habibzadeh, Parham, The Likelihood Ratio and Its Graphical Representation (2019). Biochem Med (Zagreb). Jun 15;29(2):020101, 2019, DOI: 10.11613/BM.2019.020101, Available at SSRN: https://ssrn.com/abstract=3564630
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