Description |
1 online resource (608 pages) : illustrations |
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text file |
Bibliography |
Includes bibliographical references, and index. |
Contents |
Mixed model basics -- Design structure I : single random effect -- Mean comparions for fixed effects -- Power, precision, and sample size I : basic concepts -- Design structure II : models with multiple random effects -- Random effects models -- Analysis of covariance -- Analysis of repeated measures data -- Best linear unbiased prediction (BLUP) and inference on random effects -- Random coefficient models -- Generalized linear mixed models for binomial data -- Generalized linear mixed models for binomial data -- Generalized linear mixed models for count data -- Generalized linear mixed models for multilevel and repeated measures experiments -- Power, precision, and sample size II : general approaches -- Mixed model troubleshooting and diagnostics -- Appendix A. Linear mixed model theory -- Appendix B. Generalized linear mixed model theory. |
Summary |
Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research data-are part of the core curriculum in most master's degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, multilocation, and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program. |
Subject |
SAS (Computer file)
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SAS (Computer file) |
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Analysis of variance.
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Linear models (Statistics)
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Mathematical statistics -- Data processing.
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Multilevel models (Statistics)
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Multivariate analysis.
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Analyse de variance. |
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Statistique mathématique -- Informatique. |
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Modèles multiniveaux (Statistique) |
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Analyse multivariée. |
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Analysis of variance |
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Linear models (Statistics) |
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Mathematical statistics -- Data processing |
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Multilevel models (Statistics) |
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Multivariate analysis |
Genre |
Instructional and educational works.
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Matériel d'éducation et de formation.
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Added Author |
Milliken, George A., 1943- author.
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Claassen, Elizabeth A., author.
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Wolfinger, Russell Dean. author.
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Safari, an O'Reilly Media Company.
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Standard No. |
9781635261523 |
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