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We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), likelihood ratio (LR) for a positive test (LRP), and LR for a negative test (LRN) with 95 percent confidence intervals (CI).
The posterior probabilities after test ej are given by p hi|ej) = p hi p ej|hi) / Σi p hi p ej|hi) for a positive test result, and p hi|∼ej) = p hi)(1−p ej|hi)) / Σi p hi)(1−p ej|hi)) for a negative test result.
LR- = likelihood ratio for a negative test.
The likelihood ratio for a positive test (LR+) was 1.28 and 0.42 for a negative test (LR-).
At this cutpoint the likelihood ratio for a positive test was 1.19 (95% CI 1.15 to 1.22) and 0.25 (95% CI 0.19 to 0.34) for a negative test.
The associated likelihood ratio for a positive test was 2.38 (95% CI 2.08 to 2.72) and 0.74 (95% CI 0.70 to 0.78) for a negative test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com