Journal
AMERICAN STATISTICIAN
Volume 60, Issue 1, Pages 19-26Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/000313006X90396
Keywords
information criteria; longitudinal data; model selection; random effects; restricted likelihood
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Restricted maximum likelihood (REML) estimation of the parameters of the mixed model has become commonplace, even becoming the default option in many statistical software packages. However, a review of the literature indicates a need to update and clarify model selection techniques under REML, as ambiguities exist on the appropriateness of existing information criteria in this setting. A simulation study as well as an application assisted in gaining an understanding of the performance of information criteria in selecting the best model when using REML estimation.
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