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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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書誌詳細
出版年:BMC Med Res Methodol
主要な著者: Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun, Omar, Rumana Z.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2015
主題:
オンライン・アクセス: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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