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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