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1. Linear model theory
: univariate, multivariate, and mixed models
by Muller, Keith E and Stewart, Paul Wilder
2006, 1. Aufl., Wiley series in probability and statistics, ISBN 9780471214885, xiv, 410
Linear models (Statistics) | Probability & Statistics | General | Mathematics
Book
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2. Repeated measures design with generalized linear mixed models for randomized controlled trials
by Tango, Toshirō, 1950- author
2017, Chapman & Hall/CRC biostatistics series, ISBN 9781498747899, xv, 359 pages
Clinical trials | Linear Models | Statistical methods | methods | Biometry | Randomized Controlled Trials as Topic | Statistical Theory & Methods | Clinical Trials - Pharmaceutical Science | Medical Statistics & Computing
Book
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3. Introduction to mixed modelling
: beyond regression and analysis of variance
by Galwey, Nick, author
2014, Second edition., ISBN 9781119945499, xiii, 487 pages
Multilevel models (Statistics) | Regression analysis | Experimental design | Analysis of variance
Book
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4. Introduction to mixed modelling
: beyond regression and analysis of variance
by Galwey, Nick
2006, 1. Aufl., ISBN 0470014962, x, 366
Plan d'expérience | Multilevel models (Statistics) | Experimental design | Analyse de régression | Regression analysis | Analyse de variance | Analysis of variance | Modèles multiniveaux (Statistique)
Book
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5. Full Text Mixed Models
: Theory and Applications with R
by Demidenko, Eugene
2013, Wiley Series in Probability and Statistics, ISBN 1118091574, Volume 893, 756
Analysis of variance | R (Computer program language) | Multilevel models (Statistics)
eBook
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6. Linear mixed-effects models using R
: a step-by-step approach
by Gałecki, Andrzej T and Burzykowski, Tomasz
2013, 1. Aufl., Springer texts in statistics, ISBN 9781461438991, xxxii, 542 pages
Linear models (Statistics) | R (Computer program language)
Book
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7. Generalized linear mixed models
: modern concepts, methods and applications
by Stroup, Walter W
2013, Chapman & Hall/CRC texts in statistical science series., ISBN 1439815127, xxv, 529 pages
Linear models (Statistics)
Book
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8. Mixed effects models for complex data
by Wu, Lang
2010, ISBN 9781420074024, xx, 419
Book
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9. Linear mixed models
: a practical guide using statistical software
by West, Brady T and Welch, Kathleen B and Gałecki, Andrzej T and Gillespie, Brenda W
2015, Second edition., ISBN 1466560991, 414
Linear models (Statistics) | Data processing
Book
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10. Full Text Linear quantile mixed models
by Geraci, Marco and Geraci, Marco and Bottai, Matteo and Bottai, Matteo
Statistics and computing, ISSN 0960-3174, 5/2014, Volume 24, Issue 3, pp. 461 - 479
Statistics and Computing/Statistics Programs | Best linear predictor | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Statistics | Hierarchical models | Gaussian quadrature | Clarke’s derivative | Probability and Statistics in Computer Science | Clarke's derivative | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Models | Algorithms | Mathematical optimization | Analysis | Quantiles | Maximization | Computer simulation | Computation | Regression | Mathematical models | Optimization | Medicin och hälsovetenskap
Journal Article
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11. Full Text rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models
by Stoffel, Martin A and Nakagawa, Shinichi and Schielzeth, Holger and Goslee, Sarah
Methods in ecology and evolution, ISSN 2041-210X, 11/2017, Volume 8, Issue 11, pp. 1639 - 1644
nonparametric bootstrapping | animal personality | coefficient of determination | variance component analysis | generalized linear mixed‐effects models | software application | generalized linear mixed-effects models | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Uncertainty | Biological effects | Statistical analysis | Statistical models | Reproducibility | Likelihood ratio | Models | Mathematical models | Significance | Variance | Clear cutting
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12. Full Text Evaluating significance in linear mixed-effects models in R
by Luke, Steven G and Luke, Steven G
Behavior research methods, ISSN 1554-351X, 8/2017, Volume 49, Issue 4, pp. 1494 - 1502
lme4 | Linear mixed-effects models | Psychology | Type 1 error | p -values | Cognitive Psychology | Statistics | p-values | Psychology, Experimental | Social Sciences | Psychology, Mathematical | Linear Models | Sample Size | Statistics as Topic | Humans | Index Medicus
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13. Full Text Balancing Type I error and power in linear mixed models
by Matuschek, Hannes and Kliegl, Reinhold and Vasishth, Shravan and Baayen, Harald and Bates, Douglas
Journal of memory and language, ISSN 0749-596X, 06/2017, Volume 94, pp. 305 - 315
Hypothesis testing | Linear mixed effect model | Power | Psychology, Experimental | Linguistics | Social Sciences | Psychology | language | psycholinguistics | language processing | statistical approach | Analysis | Models | Information management | Statistics - Applications
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14. Full Text Genome-wide efficient mixed-model analysis for association studies
by Zhou, Xiang and Stephens, Matthew
Nature genetics, ISSN 1061-4036, 07/2012, Volume 44, Issue 7, pp. 821 - 824
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | Genetics of eukaryotes. Biological and molecular evolution | Computer Simulation | Humans | Population Groups - genetics | Linear Models | Models, Genetic | Polymorphism, Single Nucleotide | Software | Genome, Human | Genome-Wide Association Study - methods | Usage | Algorithms | Single nucleotide polymorphisms | Research | Studies | Models | Index Medicus
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