Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5792884 | Preventive Veterinary Medicine | 2016 | 39 Pages |
Abstract
The different model approaches allowed us to explore the effect of having a large number of data available to identify the significant variables. To a large extent, the country specific models identified risk factors that were also found in the bi-national model. However, the bi-national model identified more risk factors than the country specific models. This indicated that combining the data sets from the two countries did not disrupt the results but was beneficial due to the greater strength achieved in the statistical analyses and the possibility of examining interactions terms with the variable Country.
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Authors
B. Borck Høg, H.M. Sommer, L.S. Larsen, A.I.V. Sørensen, B. David, M. Hofshagen, H. Rosenquist,