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

See all articles by Farrokh Habibzadeh

Farrokh Habibzadeh

R&D Headquarters, Petroleum Industry Health Organization

Parham Habibzadeh

Shiraz University of Medical Sciences

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

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

Farrokh Habibzadeh (Contact Author)

R&D Headquarters, Petroleum Industry Health Organization ( email )

The IJOEM Editorial Office,
PIHO Polyclinic, Eram Blvd.
Shiraz, 7143837877
Iran

Parham Habibzadeh

Shiraz University of Medical Sciences ( email )

Zand Ave
Shiraz, Fars
Iran

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