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Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.

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Comparing non nested models with AIC

The AIC can be applied with non nested models. In fact, this is one of the most extended myths (misunderstandings?) about AIC. See: Akaike Information Criterion AIC MYTHS AND MISUNDERSTANDINGS One …
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