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Linear Mixed-Effects Regression

Linear Mixed-Effects Regression

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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. Variance parameters are of interest, because they relate to model

  Different, Effect

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