In this study we assess farm- and slaughterhouse-level data to explore risk factors that are associated with slaughterhouse condemnation of broiler chickens. This paper describes application of a novel combination of association rules analysis, regression tree and multivariable mixed-effect Poisson regression analyses to prioritise multiple outcomes and explanatory variables. Association rules analysis was used to address the heterogeneity of conditions that result in condemnation. Regression tree analysis and multivariable mixed-effect Poisson regression were applied to prioritise between large numbers of explanatory variables. Addressing these factors can improve the productivity, health and welfare of broiler chickens.
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