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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...
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| Pubblicato in: | BMC Med Res Methodol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4525751/ https://ncbi.nlm.nih.gov/pubmed/26242875 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-015-0046-6 |
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