Continuous-data diagnostic tests for paratuberculosis as a multistage disease

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Continuous-data diagnostic tests for paratuberculosis as a multistage disease. / Toft, Nils; Nielsen, Søren Saxmose; Jørgensen, Erik.

In: Journal of Dairy Science, Vol. 88, No. 11, 2005, p. 3923-3931.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Toft, N, Nielsen, SS & Jørgensen, E 2005, 'Continuous-data diagnostic tests for paratuberculosis as a multistage disease', Journal of Dairy Science, vol. 88, no. 11, pp. 3923-3931. https://doi.org/10.3168/jds.S0022-0302(05)73078-2

APA

Toft, N., Nielsen, S. S., & Jørgensen, E. (2005). Continuous-data diagnostic tests for paratuberculosis as a multistage disease. Journal of Dairy Science, 88(11), 3923-3931. https://doi.org/10.3168/jds.S0022-0302(05)73078-2

Vancouver

Toft N, Nielsen SS, Jørgensen E. Continuous-data diagnostic tests for paratuberculosis as a multistage disease. Journal of Dairy Science. 2005;88(11):3923-3931. https://doi.org/10.3168/jds.S0022-0302(05)73078-2

Author

Toft, Nils ; Nielsen, Søren Saxmose ; Jørgensen, Erik. / Continuous-data diagnostic tests for paratuberculosis as a multistage disease. In: Journal of Dairy Science. 2005 ; Vol. 88, No. 11. pp. 3923-3931.

Bibtex

@article{c4f310703eda11de87b8000ea68e967b,
title = "Continuous-data diagnostic tests for paratuberculosis as a multistage disease",
abstract = "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)",
author = "Nils Toft and Nielsen, {S{\o}ren Saxmose} and Erik J{\o}rgensen",
year = "2005",
doi = "10.3168/jds.S0022-0302(05)73078-2",
language = "English",
volume = "88",
pages = "3923--3931",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier",
number = "11",

}

RIS

TY - JOUR

T1 - Continuous-data diagnostic tests for paratuberculosis as a multistage disease

AU - Toft, Nils

AU - Nielsen, Søren Saxmose

AU - Jørgensen, Erik

PY - 2005

Y1 - 2005

N2 - 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)

AB - 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)

U2 - 10.3168/jds.S0022-0302(05)73078-2

DO - 10.3168/jds.S0022-0302(05)73078-2

M3 - Journal article

VL - 88

SP - 3923

EP - 3931

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 11

ER -

ID: 12211983