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Table 3 Posterior parameters and models checking for the application of two-stage Bayesian models to the colorectal cancers data

From: A two-stage Bayesian method for estimating accuracy and disease prevalence for two dependent dichotomous screening tests when the status of individuals who are negative on both tests is unverified

Posterior parameters

Model evaluation and checking

Median (95% BCI)

True value Median (95% BCI)

Ï€

0.0065 (0.0043, 0.0095)

PPVJE

0.08

0.0807 (0.0559, 0.1107)

Se1

0.6040 (0.5048, 0.8834)

x11

39

39 (24, 58)

Se2

0.6825 (0.6039, 0.9036)

x10

91

91 (67, 117)

Sp1

0.9812 (0.9772, 0.9849)

x01

237

237 (200, 277)

Sp2

0.9559 (0.9513, 0.9603)

x00

5360

5359 (5314, 5402)

SeJE

0.8103 (0.6503, 0.9557)

a11

29

30 (16, 46)

SpJE

0.9405 (0.9360, 0.9450)

a10

338

338 (296, 382)

   

pD = 3.9

DIC = 39.7

   

χ 2 = 0.0002

P = 0.6101