Biochemia Medica, Vol. 29 No. 2, 2019.
Review article
https://doi.org/10.11613/BM.2019.020101
The likelihood ratio and its graphical representation
Farrokh Habibzadeh
; Managing Director, R&D Headquarters, Petroleum Industry Health Organization, Shiraz, Iran
Parham Habibzadeh
; Persian Bayangene Research and Training Center, Shiraz, Iran; Student Research Committee, Shiraz University of Medical Sciences, 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.
Keywords
ROC curve; diagnostic tests; likelihood ratio
Hrčak ID:
218967
URI
Publication date:
15.6.2019.
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