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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 | NEUROSCIENCES | NEUROIMAGING | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Models, Theoretical | Research Design | Humans | Bayes Theorem | Economic models | Population | Marble | Bayesian analysis
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
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 | Training
Journal Article
Journal Article
2003, 3RD ED., KENDALL'S LIBRARY OF STATISTICS; 3., ISBN 0340806559
Book
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
Methods in Ecology and Evolution, ISSN 2041-210X, 01/2013, Volume 4, Issue 1, pp. 14 - 24
Journal Article
Methods in Ecology and Evolution, ISSN 2041-210X, 01/2013, Volume 4, Issue 1, pp. 14 - 24
Summary Nested data structures are ubiquitous in the study of ecology and evolution, and such structures need to be modelled appropriately. Mixed‐effects... 
variance components analysis | interaction variance | anova | categorical data | experimental design | hierarchical models | mixed‐effects models | BRIEF CONCEPTUAL TUTORIAL | PHYLOGENIES | PRACTICAL GUIDE | MULTILEVEL ANALYSIS | BEHAVIOR | SOCIAL EPIDEMIOLOGY | mixed-effects models | ECOLOGY | VARIANCE
Journal Article
Pharmaceutical Research, ISSN 0724-8741, 12/2007, Volume 24, Issue 12, pp. 2187 - 2197
Journal Article
2009, 1. Aufl., Statistics for biology and health, ISBN 0387874577, xxii, 574
Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and... 
Ecology | R (Computer program language) | Statistical methods | Multilevel models (Statistics) | Méthodes statistiques | Écologie | Biology, life sciences | Life Sciences | Math. Appl. in Environmental Science | Statistics for Life Sciences, Medicine, Health Sciences | Environmental Monitoring/Analysis
Book