Continuous-data diagnostic tests for paratuberculosis as a multistage disease
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
We devised a general method for interpretation of multistage diseases using continuous-data diagnostic tests. As an example, we used paratuberculosis as a multistage infection with 2 stages of infection as well as a noninfected state. Using data from a Danish research project, a fecal culture testing scheme was linked to an indirect ELISA and adjusted for covariates (parity, age at first calving, and days in milk). We used the log-transformed optical densities in a Bayesian network to obtain the probabilities for each of the 3 infection stages for a given optical density (adjusted for covariates). The strength of this approach was that the uncertainty associated with a test was imposed directly on the individual test result rather than aggregated into the population-based measures of test properties (i.e., sensitivity and specificity)
Originalsprog | Engelsk |
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Tidsskrift | Journal of Dairy Science |
Vol/bind | 88 |
Udgave nummer | 11 |
Sider (fra-til) | 3923-3931 |
Antal sider | 9 |
ISSN | 0022-0302 |
DOI | |
Status | Udgivet - 2005 |
ID: 12211983