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Sample Size and Power Calculations Based on Generalized Linear Mixed Models with Correlated Binary Outcomes
The generalized linear mixed model (GLIMMIX) provides a powerful technique to model correlated outcomes with different types of distributions. The model can now be easily implemented with SAS PROC GLIMMIX in version 9.1. For binary outcomes, linearization methods of penalized quasilikelihood (PQL) o...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3737998/ https://ncbi.nlm.nih.gov/pubmed/18462826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2008.03.001 |
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