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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tovissodé, Chénangnon Frédéric, Diop, Aliou, Glèlè Kakaï, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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

Ejemplares similares