Bayesian mixture models for partially verified data: age- and stage-specific discriminatory power of an antibody ELISA for paratuberculosis
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Bayesian mixture models for partially verified data : age- and stage-specific discriminatory power of an antibody ELISA for paratuberculosis. / Kostoulas, Polychronis; Browne, William J.; Nielsen, Søren Saxmose; Leontides, Leonidas.
In: Preventive Veterinary Medicine, Vol. 111, No. 3-4, 2013, p. 200-205.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Bayesian mixture models for partially verified data
T2 - age- and stage-specific discriminatory power of an antibody ELISA for paratuberculosis
AU - Kostoulas, Polychronis
AU - Browne, William J.
AU - Nielsen, Søren Saxmose
AU - Leontides, Leonidas
N1 - Copyright © 2013. Published by Elsevier B.V.
PY - 2013
Y1 - 2013
N2 - Bayesian mixture models can be used to discriminate between the distributions of continuous test responses for different infection stages. These models are particularly useful in case of chronic infections with a long latent period, like Mycobacterium avium subsp. paratuberculosis (MAP) infection, where a perfect reference test does not exist. However, their discriminatory ability diminishes with increasing overlap of the distributions and with increasing number of latent infection stages to be discriminated. We provide a method that uses partially verified data, with known infection status for some individuals, in order to minimize this loss in the discriminatory power. The distribution of the continuous antibody response against MAP has been obtained for healthy, MAP-infected and MAP-infectious cows of different age groups. The overall power of the milk-ELISA to discriminate between healthy and MAP-infected cows was extremely poor but was high between healthy and MAP-infectious. The discriminatory ability increased with increasing age. The great overlap between the distributions of the different infection stages would have hampered our ability to discriminate between the different infection stages. Thus, the proposed method, which uses partially verified data on the true status for some individuals, is an intuitive extension to the standard non-gold standard methods, especially in the case of infections with a long latent period.
AB - Bayesian mixture models can be used to discriminate between the distributions of continuous test responses for different infection stages. These models are particularly useful in case of chronic infections with a long latent period, like Mycobacterium avium subsp. paratuberculosis (MAP) infection, where a perfect reference test does not exist. However, their discriminatory ability diminishes with increasing overlap of the distributions and with increasing number of latent infection stages to be discriminated. We provide a method that uses partially verified data, with known infection status for some individuals, in order to minimize this loss in the discriminatory power. The distribution of the continuous antibody response against MAP has been obtained for healthy, MAP-infected and MAP-infectious cows of different age groups. The overall power of the milk-ELISA to discriminate between healthy and MAP-infected cows was extremely poor but was high between healthy and MAP-infectious. The discriminatory ability increased with increasing age. The great overlap between the distributions of the different infection stages would have hampered our ability to discriminate between the different infection stages. Thus, the proposed method, which uses partially verified data on the true status for some individuals, is an intuitive extension to the standard non-gold standard methods, especially in the case of infections with a long latent period.
U2 - 10.1016/j.prevetmed.2013.05.006
DO - 10.1016/j.prevetmed.2013.05.006
M3 - Journal article
C2 - 23777650
VL - 111
SP - 200
EP - 205
JO - Preventive Veterinary Medicine
JF - Preventive Veterinary Medicine
SN - 0167-5877
IS - 3-4
ER -
ID: 47316078