Müller, Samuel; Scealy, J. L.; Welsh, A. H.
Linear mixed effects models are highly flexible in handling a
broad range of data types and are therefore widely used in applications.
A key part in the analysis of data is model selection, which often aims to
choose a parsimonious model with other desirable properties from a possibly
very large set of candidate statistical models. Over the last 5–10 years the
literature on model selection in linear mixed models has grown extremely
rapidly. The problem is much more complicated than in...[Show more]
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