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2004, A Sage university papers series. Quantitative applications in the social sciences, ISBN 0761928790, Volume 143, vi, 79
Book
NeuroImage, ISSN 1053-8119, 01/2014, Volume 84, pp. 971 - 985
In this paper, we revisit the problem of Bayesian model selection (BMS) at the group level. We originally addressed this issue in , where models are treated as... 
Between-condition comparison | Statistical risk | Exceedance probability | Mixed effects | Random effects | Between-group comparison | DCM | APPROXIMATION | NEUROSCIENCES | NEUROIMAGING | FREE-ENERGY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | FMRI | Models, Theoretical | Research Design | Humans | Bayes Theorem | Economic models | Population | Marble | Bayesian analysis | Index Medicus
Journal Article
2010, Monographs on statistics and applied probability, ISBN 9781420074024, Volume 113., xx, 419
Book
Journal of the American Statistical Association, ISSN 0162-1459, 01/2018, Volume 113, Issue 521, pp. 269 - 279
Many practical problems are related to prediction, where the main interest is at subject (e.g., personalized medicine) or (small) sub-population (e.g., small... 
Mean squared prediction error | Linear mixed model | Mixed effects | CMMP | Future observation | Prediction interval | TRAJECTORIES | SMALL-AREA ESTIMATION | STATISTICS & PROBABILITY | ERROR | CONDITIONAL INFERENCE
Journal Article
Neuroscience and Biobehavioral Reviews, ISSN 0149-7634, 09/2016, Volume 68, pp. 1004 - 1005
A transition towards mixed models is underway in science. This transition started up because the requirements for using analyses of variances are often not met... 
Neuroscience | Linear mixed-effects models | Statistics | Analysis of variance | BEHAVIORAL SCIENCES | NEUROSCIENCES | Analysis of Variance | Models, Statistical | Analysis | Information management | Neurosciences | Index Medicus
Journal Article
Journal Article
2003, 3RD ED., KENDALL'S LIBRARY OF STATISTICS; 3., ISBN 0340806559
Book
The AAPS Journal, ISSN 1550-7416, 5/2019, Volume 21, Issue 3, pp. 1 - 10
Journal Article
JOURNAL OF STATISTICAL SOFTWARE, ISSN 1548-7660, 12/2017, Volume 82, Issue 13, pp. 1 - 26
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects... 
lme4 | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ANOVA | Satterthwaite's approximation | linear mixed effects models | STATISTICS & PROBABILITY | denominator degree of freedom | denominator degree of freedom, Satterthwaite's approximation, ANOVA, R, linear mixed effects models, lme4
Journal Article
Pharmaceutical Research, ISSN 0724-8741, 12/2007, Volume 24, Issue 12, pp. 2187 - 2197
Journal Article
Methods in Ecology and Evolution, ISSN 2041-210X, 01/2013, Volume 4, Issue 1, pp. 14 - 24
Journal Article
by Li, Li
11/2011
The minimum description length (MDL) principle originated from data compression literature and has been considered for deriving statistical model selection... 
Minimum description length | Generalized estimating equation | Functional data | Model selection | Data compression | 0463 | Linear mixed effects | AIC | BIC
Dissertation
2014, Second edition., ISBN 9781119945499, xiii, 487 pages
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is... 
Multilevel models (Statistics) | Regression analysis | Experimental design | Analysis of variance
Book