Variable selection in mixed models: a graphicalapproach

Research output: Contribution to conferenceOther

Abstract

Model selection can be defined as the task of estimating the performance of dif-ferent models in order to choose the (approximate) best one. The purpose of this article is tointroduce an extension of the graphical representation of deviance proposed in the frameworkof classical and generalized linear models to the wider class of mixed models. The proposedplot is useful in determining which are the important explanatory variables conditioning onthe random effects part. The applicability and the easy interpretation of the graph are illus-trated with a real data examples.
Original languageEnglish
Publication statusPublished - 2014

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