Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes

BACKGROUND: Logistic random effects models are a popular tool to analyze multilevel also called hierarchical data with a binary or ordinal outcome. Here, we aim to compare different statistical software implementations of these models. METHODS: We used individual patient data from 8509 patients in 2...

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Detalles Bibliográficos
Autores principales: Li, Baoyue, Lingsma, Hester F, Steyerberg, Ewout W, Lesaffre, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112198/
https://www.ncbi.nlm.nih.gov/pubmed/21605357
http://dx.doi.org/10.1186/1471-2288-11-77

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112198/
https://www.ncbi.nlm.nih.gov/pubmed/21605357
http://dx.doi.org/10.1186/1471-2288-11-77

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