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Scores were analysed at individual animal level (n = 480) in a generalized linear mixed model (MIXED procedure) with IGEg group, housing condition, the interaction between IGEg group and housing condition, sex, and batch as fixed class effects, and as random factor pen nested within IGEg group, housing condition and batch.
Cumulative leaching by pH and Brand was modeled using the SAS MIXED procedure with Brand considered as a random effect and pH as a fixed effect, with and without inclusion of a Brand x pH interaction effect.
Normalized data were log2 transformed and then fitted into mixed model ANOVAs using the Mixed procedure with two sequenced linear models considering as fixed effects the dye, cultivar, treatment and cultivar*treatment.
Statistical modeling was performed using the Mixed Procedure with SAS software (version 9.1, Cary, NC, USA).
Longitudinal modeling was estimated using the PROC MIXED procedure with an unspecified covariance structure (TYPE = UN).
The DMI and reticular pH data were analyzed using the MIXED procedure with a compound symmetry structure.
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Preference and selectivity data were analyzed using a mixed linear model with the MIXED procedure [ 40] and the Kenward-Roger method for degrees of freedom.
Data for daily intake were analyzed using the PROC MIXED procedure of SAS with significance established at P < 0.05.
Data were then analyzed as repeated measures using the PROC MIXED procedure of SAS with an unstructured covariance matrix within animal.
Data were then analysed as repeated measures using the PROC MIXED procedure of SAS with an unstructured covariance matrix within animal.
Changes in body condition and milk, 4% fat-corrected milk and total solids yields (MY, FCM and TSY, respectively), were analyzed as a complete randomized design by repeated measures using the mixed procedure (PROC MIXED) with a first order autoregressive covariance structure specified.
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