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The likelihood ratio and its graphical representation
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Croatian Society of Medical Biochemistry and Laboratory Medicine
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457916/ https://www.ncbi.nlm.nih.gov/pubmed/31015780 http://dx.doi.org/10.11613/BM.2019.020101 |
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author | Habibzadeh, Farrokh Habibzadeh, Parham |
author_facet | Habibzadeh, Farrokh Habibzadeh, Parham |
author_sort | Habibzadeh, Farrokh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6457916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Croatian Society of Medical Biochemistry and Laboratory Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-64579162019-04-23 The likelihood ratio and its graphical representation Habibzadeh, Farrokh Habibzadeh, Parham Biochem Med (Zagreb) Lessons in Biostatistics 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. Croatian Society of Medical Biochemistry and Laboratory Medicine 2019-04-15 2019-06-15 /pmc/articles/PMC6457916/ /pubmed/31015780 http://dx.doi.org/10.11613/BM.2019.020101 Text en ©Croatian Society of Medical Biochemistry and Laboratory Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Lessons in Biostatistics Habibzadeh, Farrokh Habibzadeh, Parham The likelihood ratio and its graphical representation |
title | The likelihood ratio and its graphical representation |
title_full | The likelihood ratio and its graphical representation |
title_fullStr | The likelihood ratio and its graphical representation |
title_full_unstemmed | The likelihood ratio and its graphical representation |
title_short | The likelihood ratio and its graphical representation |
title_sort | likelihood ratio and its graphical representation |
topic | Lessons in Biostatistics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457916/ https://www.ncbi.nlm.nih.gov/pubmed/31015780 http://dx.doi.org/10.11613/BM.2019.020101 |
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