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Marginalized models for longitudinal ordinal data with application to quality of life studies
Random effects are often used in generalized linear models to explain the serial dependence for longitudinal categorical data. Marginalized random effects models (MREMs) for the analysis of longitudinal binary data have been proposed to permit likelihood-based estimation of marginal regression param...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2858760/ https://ncbi.nlm.nih.gov/pubmed/18613246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3352 |
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