Consequences of ignoring clustering in linear regression

BACKGROUND: Clustering of observations is a common phenomenon in epidemiological and clinical research. Previous studies have highlighted the importance of using multilevel analysis to account for such clustering, but in practice, methods ignoring clustering are often employed. We used simulated dat...

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Detalles Bibliográficos
Autores principales: Ntani, Georgia, Inskip, Hazel, Osmond, Clive, Coggon, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265092/
https://www.ncbi.nlm.nih.gov/pubmed/34233609
http://dx.doi.org/10.1186/s12874-021-01333-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265092/
https://www.ncbi.nlm.nih.gov/pubmed/34233609
http://dx.doi.org/10.1186/s12874-021-01333-7

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