Sentence examples for mixed models included from inspiring English sources

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.

All generalized mixed models included a random intercept for patients' primary care providers to accommodate for clustering effects.

Mixed models included random effects of strain, treatment, timepoint, extraction replicate and polymerase chain reaction (PCR) plate and replicate.

Random effects in the mixed models included a direct genetic effect (animal), a maternal permanent environment effect and a litter permanent environment effect.

The fixed- and random-effects part of these mixed models included an identical set of parameters representing an intercept term, a linear cross-sectional slope parameter, and a linear longitudinal slope parameter.

The output of the mixed models includes the home parameter for each, along with its standard error, providing tests of the demographic hypotheses.

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.

The mixed models include fewer parameters than comparable lumped parameter groundwater models while explaining a similar proportion (more than 65%) of GWL variation.

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.