An R2 statistic for fixed effects in the generalized linear mixed model

Volume: 44, Issue: 6, Pages: 1086 - 1105
Published: Jun 8, 2016
Abstract
Measuring the proportion of variance explained (R2) by a statistical model and the relative importance of specific predictors (semi-partial R2) can be essential considerations when building a parsimonious statistical model. The R2 statistic is a familiar summary of goodness-of-fit for normal linear models and has been extended in various ways to more general models. In particular, the generalized linear mixed model (GLMM) extends the normal...
Paper Details
Title
An R2 statistic for fixed effects in the generalized linear mixed model
Published Date
Jun 8, 2016
Volume
44
Issue
6
Pages
1086 - 1105
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