Likelihood ratio of positive and negative diagnostic test result and Bayes theorem

Authors

  • Francesco Franco Regione Lazio, Roma
  • Anteo Di Napoli Comitato Tecnico-Scientifico RIDT, Roma

DOI:

https://doi.org/10.33393/gcnd.2016.769

Keywords:

Bayes theorem, Fagan’s nomogram, Likelihood ratio of a negative test, Likelihood ratio of a positive test

Abstract

How much more likely is a positive test to be found in a patient with a pathological condition than in a patient without it? How much more likely is a negative test to be found in a patient without a pathological condition than in a patient with it? To give an answer to these questions, it is necessary to consider the positive and negative likelihood ratio. The Fagan nomogram is a simple method which can be used to easily obtain estimates of the post-test probability of disease for any given combination of the pre-test probability of disease and likelihood ratio. (Epidemiology_statistics)

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Published

2016-05-17

How to Cite

Franco, F., & Di Napoli, A. (2016). Likelihood ratio of positive and negative diagnostic test result and Bayes theorem. Giornale Di Clinica Nefrologica E Dialisi, 28(2), 134–136. https://doi.org/10.33393/gcnd.2016.769

Issue

Section

Epidemiology and statistics

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