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PROC GENMOD was used for Generalised Estimating Equations modelling to take clustering of data at farm level into account.
Although we used random effects modelling to take into account the large heterogeneity, overall effect sizes should be interpreted with caution as they may vary somewhat among subgroups.
Generalised linear mixed modelling to take account of repeated measures will be used to determine the effect over time on the associations between health outcomes and covariates.
We used multilevel modelling to take account of the hierarchical nature of the data and to estimate the amount of unexplained variation attributable to each level.
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