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2006, 1. Aufl., Wiley series in probability and statistics, ISBN 9780471214885, xiv, 410
A precise and accessible presentation of linear model theory, illustrated with data examplesStatisticians often use linear models for data analysis and for... 
Linear models (Statistics) | Probability & Statistics | General | Mathematics
Book
2013, Chapman & Hall/CRC texts in statistical science series., ISBN 1439815127, xxv, 529 pages
"Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed... 
Linear models (Statistics)
Book
2001, 1. Aufl., Wiley series in probability and statistics. Applied probability and statistics section, ISBN 9780471193647, 358
Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust... 
Linear models (Statistics)
eBook
2008, 2nd ed., Wiley series in probability and statistics, ISBN 0470073713, xxv, 384
Book
2009, Springer series in statistics., ISBN 1441902996, xxii, 568
Book
2017, Chapman & Hall/CRC biostatistics series, ISBN 9781498747899, xv, 359 pages
Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized... 
Clinical trials | Linear Models | Statistical methods | methods | Biometry | Randomized Controlled Trials as Topic
Book
Journal of Memory and Language, ISSN 0749-596X, 06/2017, Volume 94, pp. 305 - 315
Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments.... 
Hypothesis testing | Linear mixed effect model | Power | LINGUISTICS | PSYCHOLOGY, EXPERIMENTAL | PSYCHOLOGY | language | psycholinguistics | language processing | statistical approach | Analysis | Models | Information management | Statistics - Applications
Journal Article
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 of Statistical Software, ISSN 1548-7660, 2010, Volume 33, Issue 2, pp. 1 - 22
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot... 
Animal model | Linear mixed model | R | Pedigree | MCMC | Sparse | Phylogeny | Multivariate | DATA AUGMENTATION | HIERARCHICAL-MODELS | ALGORITHM | multivariate | STATISTICS & PROBABILITY | pedigree | PARAMETER EXPANSION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MULTILEVEL MODELS | sparse | phylogeny | linear mixed model | animal model
Journal Article
1997, Lecture notes in statistics, ISBN 0387982221, Volume 126, xiii, 306
The dissemination of the MIXED procedure in SAS has provided a whole class of statistical models for routine use. We believe that both the ideas be­ hind the... 
Linear models (Statistics) | Data processing | SAS (Computer file) | Statistics for Life Sciences, Medicine, Health Sciences | Statistics
Book
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