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

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

Rapporto di verosimiglianza del risultato positivo e negativo di un test diagnostico e teorema di Bayes

G Tec Nefrol Dial 2016; 28(2): 134 - 136

Article Type: SPECIAL FOCUS REVIEW

Article Subject: EPIDEMIOLOGIA E STATISTICA

DOI:10.5301/GTND.2016.15813

Authors

Francesco Franco, Anteo Di Napoli

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.

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