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The mixed model includes group, age and group Χ age of the family member as fixed effects and a random family effect with an unstructured correlation matrix.
The mixed model includes a random litter effect, which models the correlation between pups within a litter and allows the pup to be the unit of analysis.
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The linear mixed model included random intercepts for subject, visits, eye, and circular test pattern [10].
The linear mixed model included random intercepts for subject, visits, and circular test pattern [10].
Data were analyzed statistically with a mixed model including the fixed effect of treatment and random effects of block and cow within block.
A linear mixed model including a random-intercept term provided the best fit for the observed data and was used for predictions.
The basic mixed model included source (island or mainland), treatment (control or root-damaged), their interaction as fixed effects, and population nested within source as a random effect.
For each gene set, the mixed model included gene expression levels as the outcome variable, group (patients or healthy controls) as the fixed effects and different batches, patients as the random effects.
The mixed model included the experiment and the marker orientation as random effects.
This mixed model included collection site and the random effect of family (nested within site).
The final generalised additive mixed model included 15 variables in addition to year and region indicators.
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