Accuracy of new or alternative diagnostic tests is typically estimated in relation to a well-
standardized reference test referred to as a gold standard. However, for bovine tuberculosis
(bTB), a chronic disease of cattle, affecting animal and public health, no reliable gold
standard is available. In this context, latent-class models implemented using a Bayesian
approach can help to assess the accuracy of diagnostic tests incorporating previous
knowledge on test performance and disease prevalence. In Uruguay, bTB-prevalence has …