Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models)

<div>Scatterplots of 95% prior and posterior interval widths for sensitivity (a) and specificity (b) of diagnostic tests for tuberculosis in studies that used informative prior distributions.</div>

Transboundary and Emerging Diseases

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Figure 4

Figure 4: Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models) 