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Table 5 Median posterior estimates and 95% Credible Intervals (CrI) of latent class model parameters, Area Under the Curve (AUC) and Integrated Discrimination Improvement (IDI) statistics using data from applied examples

From: A Bayesian framework for estimating the incremental value of a diagnostic test in the absence of a gold standard

  TST Sensitivity (95% CrI) TST Specificity (95% CrI) QFT Sensitivity (95% CrI) QFT Specificity (95% CrI) Prevalence (95% CrI)
India study (n = 719) [26] 0.74 (0.70, 0.78) 0.98 (0.96, 0.99) 0.76 (0.72, 0.80) 0.98 (0.96, 0.99) 0.53 (0.48, 0.58)
Portugal study (n = 1218) [28] 0.84 (0.81, 0.87) 0.46 (0.42, 0.51) 0.69 (0.62, 0.75) 0.98 (0.97, 0.99) 0.47 (0.41, 0.55)
  AUC for TST and QFT (95% CrI) AUC for TST (95% CrI) AUC difference (95% CrI) IDI in events (95% CrI) IDI in non events (95% CrI) IDI (95% CrI)
India study (n = 719) [26] 0.94 (0.91, 0.97) 0.86 (0.83, 0.89) 0.08 (0.06, 0.11) 0.11 (0.07, 0.14) 0.12 (0.08, 0.16) 0.23 (0.16, 0.29)
Portugal study (n = 1218) [28] 0.86 (0.82, 0.89) 0.65 (0.61, 0.69) 0.21 (0.17, 0.25) 0.21 (0.13, 0.30) 0.19 (0.15, 0.22) 0.40 (0.29, 0.51)