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- W2938558385 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." @default.
- W2938558385 created "2019-04-25" @default.
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- W2938558385 date "2019-04-14" @default.
- W2938558385 modified "2023-10-14" @default.
- W2938558385 title "The likelihood ratio and its graphical representation" @default.
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- W2938558385 doi "https://doi.org/10.11613/bm.2019.020101" @default.
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