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Table 2 Bayesian Deviance Information Criterion (DIC) for model 1 to 3 under different scenarios

From: Estimation of the sensitivity and specificity of two serum ELISAs and one fecal qPCR for diagnosis of paratuberculosis in sub-clinically infected young-adult French sheep using latent class Bayesian modeling

  Deviance Information Criterion
Doubtful
ELISA results
Fecal qPCR
positive cut-off
Model 1a Model 2b Model 3c
Positive Ct ≤ 42 120.4 134.2 227.9
Positive Ct ≤ 40 114.3 130.1 197.5
Negative Ct ≤ 42 115.6 128.2 222.1
Negative Ct ≤ 40 114.3 127.5 194.5
  1. aModels with pairwise dependence between ELISA A and ELISA B for sensitivity and pairwise dependence between the three tests for specificity
  2. bModels with pairwise dependence between ELISA A and ELISA B for sensitivity and specificity and assuming conditional independence of fecal qPCR
  3. cModels assuming fully conditional independence between the three tests