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Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm
Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences. The traditional approach to GLMMs causes substantial bias in estimates due to steady shape of logistic and normal distribution assumptions th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028747/ https://www.ncbi.nlm.nih.gov/pubmed/33822818 http://dx.doi.org/10.1371/journal.pone.0249604 |