Linear Mixed-Effects Regression
To model correlated data, we include random effects in the model. Random effects relate to assumed correlation structure for data Including different combinations of random effects can account for different correlation structures present in the data Goal is to estimate fixed effects parameters (e.g., b^) and random effects variance parameters.
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