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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
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 |