Abstract: Abstract Generalized linear mixed models (GLMMs) are a class of models that incorporates random effects into the linear predictor of a generalized linear model (GLM). This allows the modeling of correlated data within the context of GLMs and greatly extends their breadth of applicability. They thus include both linear mixed models (LMMs) and GLMs as special cases.
Publication Year: 2014
Publication Date: 2014-09-29
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 484
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