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Random intercept and linear mixed models including heteroscedasticity in a logarithmic scale: Correction terms and prediction in the original scale

Random intercept models are linear mixed models (LMM) including error and intercept random effects. Sometimes heteroscedasticity is included and the response variable is transformed into a logarithmic scale, while inference is required in the original scale; thus, the response variable has a log-nor...

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Detalles Bibliográficos
Autores principales: Ramírez-Aldana, Ricardo, Naranjo, Lizbeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046211/
https://www.ncbi.nlm.nih.gov/pubmed/33852635
http://dx.doi.org/10.1371/journal.pone.0249910