Abstract

Multilevel models, also often known as random effects or mixed models, are now a well-established statistical technique with applications in many disciplinary areas, most notably the social and medical sciences. In this article, we provide a basic introduction to these models and discuss extensions that deal with data structures of increasing complexity

Structured keywords

  • Jean Golding

Keywords

  • multilevel model
  • random effects
  • hierarchical data
  • mixed models

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