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On Fitting Generalized Linear Mixed-effects Models for Binary Responses using Different Statistical Packages
The generalized linear mixed-effects model (GLMM) is a popular paradigm to extend models for cross-sectional data to a longitudinal setting. When applied to modeling binary responses, different software packages and even different procedures within a package may give quite different results. In this...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3175267/ https://ncbi.nlm.nih.gov/pubmed/21671252 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4265 |
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