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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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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2011
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3112198/ https://ncbi.nlm.nih.gov/pubmed/21605357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-11-77 |
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