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generalized linear mixed model
In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model in which the linear predictor contains random effects in addition to the usual fixed effects. They also extend the idea of linear mixed models to non-normal data.
==Introduction==
GLMMs provide a broad range of models for the analysis of grouped data. These models are useful in the analysis of longitudinal data.
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