A simulation study for evaluating the performance of clustering measures in multilevel logistic regression

BACKGROUND: Multilevel logistic regression models are widely used in health sciences research to account for clustering in multilevel data when estimating effects on subject binary outcomes of individual-level and cluster-level covariates. Several measures for quantifying between-cluster heterogenei...

Descripción completa

Detalles Bibliográficos
Autores principales: Adam, Nicholas Siame, Twabi, Halima S., Manda, Samuel O.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590272/
https://www.ncbi.nlm.nih.gov/pubmed/34772354
http://dx.doi.org/10.1186/s12874-021-01417-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590272/
https://www.ncbi.nlm.nih.gov/pubmed/34772354
http://dx.doi.org/10.1186/s12874-021-01417-4

Ejemplares similares