Abstract
Integrated quality control measures have been discussed in farm animal husbandry and veterinary medicine for some time in search of concepts to link information on management factors with disease data gained by veterinary meat inspection at slaughter. For this purpose an exploratory modelling strategy has been developed that combines a characterization of variance structures, the generation of regression trees to explore association structures in available animal management and disease data, and logistic regression used to quantify systematic effects of farm management factors.
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Dahms, S. (2005). Combination of Regression Trees and Logistic Regression to Analyse Animal Management and Disease Data. In: Baier, D., Wernecke, KD. (eds) Innovations in Classification, Data Science, and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26981-9_15
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DOI: https://doi.org/10.1007/3-540-26981-9_15
Publisher Name: Springer, Berlin, Heidelberg
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