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The likelihood ratio and its graphical representation
Farrokh Habibzadeh1, Parham Habibzadeh2,3
1Managing Director, R&D Headquarters, Petroleum Industry Health Organization, Shiraz, Iran.
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.
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