Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study

BACKGROUND: When unaccounted-for group-level characteristics affect an outcome variable, traditional linear regression is inefficient and can be biased. The random- and fixed-effects estimators (RE and FE, respectively) are two competing methods that address these problems. While each estimator cont...

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Detalles Bibliográficos
Autores principales: Dieleman, Joseph L., Templin, Tara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208783/
https://www.ncbi.nlm.nih.gov/pubmed/25343620
http://dx.doi.org/10.1371/journal.pone.0110257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208783/
https://www.ncbi.nlm.nih.gov/pubmed/25343620
http://dx.doi.org/10.1371/journal.pone.0110257

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