Comparing the mixed model and the fixed effects model: Do the advantages justify the costs?
Mixed models have important advantages as compared to fixed effects models. Complex data structures can be described in a natural way in mixed models. The analysis of unbalanced data is a straightforward extension of the analysis of balanced data in the mixed model framework. Furthermore, the approp...
| Autor principal: | |
|---|---|
| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
International Biometric Society
1997
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/50295 |
Ejemplares similares: Comparing the mixed model and the fixed effects model: Do the advantages justify the costs?
- Analysis of correlated discrete observations: Background, examples and solutions
- Modelling rankings in R: the PlackettLuce package
- Multilevel diagnostics for mixed and hierarchical linear models
- An iterative procedure for analyzing a combination of censored and uncensored traits in mixed models: Estimation of location parameters
- Statistical modelling of determinants of child stunting using secondary data and Bayesian networks: A UKRI Global Challenges Research Fund (GCRF) action against stunting hub protocol paper
- Mixed models and multilevel data structures in agriculture