A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes

BACKGROUND: Clustered data with binary outcomes are often analysed using random intercepts models or generalised estimating equations (GEE) resulting in cluster-specific or ‘population-average’ inference, respectively. METHODS: When a random effects model is fitted to clustered data, predictions may...

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Detalles Bibliográficos
Autores principales: Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun, Omar, Rumana Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525751/
https://www.ncbi.nlm.nih.gov/pubmed/26242875
http://dx.doi.org/10.1186/s12874-015-0046-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525751/
https://www.ncbi.nlm.nih.gov/pubmed/26242875
http://dx.doi.org/10.1186/s12874-015-0046-6

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