Linear mixed effects models
18:37
YouTubeMatthew E. Clapham
Linear mixed effects models
When to choose mixed-effects models, how to determine fixed effects vs. random effects, and nested vs. crossed sampling designs. Requirements and assumptions of mixed-effects models, and how to evaluate them. How mixed-effects models can improve parameter estimation with partial pooling/shrinkage.
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