Selecting mixed-effects models based on a generalized information criterion

By Wenji Pu, Xufeng Niu. 2006

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Model Selection in Linear Mixed Models (2013, methodology): “For the linear mixed model (1) or the transformation model (3), Pu and Niu (2006) suggest a Generalized Information Criterion of the form GIC κn =−2ℓ(θ̂) + κn(p+ q).”
Model averaging and weight choice in linear mixed-effects models (2014, methodology): “A similar condition has also been imposed to study model selection for the linear mixed-effects models, like Condition (17) in Pu & Niu (2006).”