Title: 2015 ACVIM Forum Research Abstract Program Document date: 2015_5_27
ID: 3pnuj5ru_863_1
Snippet: and year of submission, province and region (Eastern vs. Western Canada)) and a positive test result was examined using binary logistic regression with binomial distribution to calculate odds ratios (OR) with 95% confidence interval (CI). A final multivariable model based on nonmodifiable horse characteristics was created from the dataset and P < 0.05 was considered significant. Samples with missing data were excluded from the analysis. Informati.....
Document: and year of submission, province and region (Eastern vs. Western Canada)) and a positive test result was examined using binary logistic regression with binomial distribution to calculate odds ratios (OR) with 95% confidence interval (CI). A final multivariable model based on nonmodifiable horse characteristics was created from the dataset and P < 0.05 was considered significant. Samples with missing data were excluded from the analysis. Information was available for 5981 submissions, which included 420 animals that tested positive. Based on univariate analysis, breed, province, region, year and month of submission were significant risk factors for a positive EIA result. Age and breed were retained in the final multi-variable model and showed significant interaction. Conclusion: Breed and province/region may be a risk factor for EIA in Canada and may indicate effects of use-specific management factors.
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