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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)