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Mixed models including pig specific random effects were evaluated for the Bridges, Weibull, and generalized Michaelis-Menten (GMM) functions.
All data were analyzed with mixed models, including the fixed effects of sugar, amylase, and their interaction, and the random effects of period and pen.
Associations between predictor variables and measures of lying behavior were assessed using generalized linear mixed models, including farm and province as random and fixed effects, respectively.
Animal-level data were analyzed using mixed models, including the fixed effect of treatment and the random effects of period, pen, period × pen interaction, and cow within pen to recognize pen as the experimental unit.
Models were adjusted for age cValues represent the results from linear mixed models including exposure variable.
REML is the default option in multiple software packages for mixed models including SAS and Mplus.
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The output of the mixed models includes the home parameter for each, along with its standard error, providing tests of the demographic hypotheses.
The mixed models include fewer parameters than comparable lumped parameter groundwater models while explaining a similar proportion (more than 65%) of GWL variation.
Linear mixed models included random effects of subjects and movies, and fixed effects of age group (younger adult, older adult), presentation condition (unedited, event middle, event boundary), and information type (midpoint, boundary).
All the mixed models included a subject-specific random intercept.
Generalised additive mixed models include random effects to take into account correlation patterns in repeated outcomes.
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