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
| Original language | English |
|---|---|
| Pages | 1-8 |
| Number of pages | 8 |
| Specialist publication | Wiley StatsRef |
| Publisher | Wiley |
| DOIs | |
| Publication status | Published - 28 Jul 2016 |
Research Groups and Themes
- Jean Golding
Keywords
- multilevel model
- random effects
- hierarchical data
- mixed models