Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices

Recognizing that health outcomes are influenced by and occur within multiple social and physical contexts, researchers have used multilevel modeling techniques for decades to analyze hierarchical or nested data. Cross-Classified Multilevel Models (CCMM) are a statistical technique proposed in the 19...

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Detalles Bibliográficos
Autores principales: Barker, Kathryn M., Dunn, Erin C., Richmond, Tracy K., Ahmed, Sarah, Hawrilenko, Matthew, Evans, Clare R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490849/
https://www.ncbi.nlm.nih.gov/pubmed/32964097
http://dx.doi.org/10.1016/j.ssmph.2020.100661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490849/
https://www.ncbi.nlm.nih.gov/pubmed/32964097
http://dx.doi.org/10.1016/j.ssmph.2020.100661

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