Term: Random Effects Models

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Glossary Definition

Last Updated: 2014-06-17

Definition:

Random effects models are regression models in which the regression coefficients are allowed to vary across the subjects or between clusters. Random effects models are also known as multi-level models, mixed models, random coefficient models, empirical Bayes models, and random regression models.

For more information, please read the Random Effects Models - Continuous Data concept.

Related concepts 

• Random Effects Models - Continuous Data

Related terms 

• Modelling