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Data were analyzed using the mixed model procedures of SAS.
Data were analyzed as a complete randomized block design using mixed model procedures.
Loading time was analyzed using mixed model procedures, and stress responses were analyzed using generalized linear mixed model methodology.
Data were analyzed using generalized linear mixed model methodology, and loading time was analyzed using mixed model procedures.
Data were analyzed using mixed model procedures, with period, sequence, and treatment as fixed effects and herd as a random effect.
Moreover, some tutorials present step-by-step illustrations of the use of SAS and SPSS mixed model procedures [ 17, 18].
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Data were analyzed using a mixed model procedure.
The study was registered with the Australian Clinical Trials Registry (www.actr.org.au) ACTRN: ACTRN012606000440527. Changes in measures were analysed by repeated measures analysis using the MIXED Model procedure in the SAS program (Clayton et al., 2008).
The mixed model procedure of SAS was used to assess effects of prepubertal ADG and BWC on milk production independent of genetic or management differences that were evident between trials.
Multiple comparisons between the different species/crosses were undertaken using Tukey's method as implemented in the SAS mixed model procedure.
Differences in plasma FABP levels between individual time periods were compared using t tests of the mixed model procedure.
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