Table 5.
Sensitivity and specificity estimates for MAP diagnosis in 3,171 beef cows in the absence of a gold standard using a two-test, two population Bayesian latent class model with non-informative priors.
| Median | 95% Cr I | Proportion posterior distribution overlap a | Mean difference in posterior estimates b | |
|---|---|---|---|---|
| Sensitivity | ||||
| Pooled PCR | 0.54 | 0.23, 0.96 | 0.35 | 0.19 |
| ELISA | 0.35 | 0.17, 0.56 | ||
| Specificity | ||||
| Pooled PCR | 0.999 | 0.996, 1.00 | 0.07 | 0.006 |
| ELISA | 0.99 | 0.99, 1.00 | ||
| Prevalence | ||||
| West | 0.01 | 0.002, 0.02 | 0.07 | −0.03 |
| East | 0.03 | 0.01, 0.07 |
a
Proportion of overlap between the posterior chains for estimates of parameters of interest from the BLCM where 0 reflects completely separate and 1 reflects completely overlapping distributions (49).
b
Mean of difference between pairs of posterior samples from the BLCMs (first parameter listed-second parameter).