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SAS for Mixed Models, Second Edition

About the Book

book cover SAS for Mixed Models, Second Edition
By: Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger
ISBN: 978-1-59047-500-3
Pages: 840


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At last! A completely revised edition of the comprehensive, applications-oriented mixed models guide for data analysis. Discover the latest capabilities available for a wide range of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS/STAT software. This practical guide integrates the theory underlying the models, the specific forms of the models for various applications, and examples from many different fields of study using appropriate SAS code with interpretation of results. Specific models discussed include: random-effect only and random coefficients, split-plot, multilocation, and repeated measures, hierarchical models with nested random effects, analysis of covariance, spatial correlation, generalized linear mixed models, nonlinear mixed models. With a background in two-way ANOVA and regression and basic knowledge of linear models and matrix algebra, you will benefit from the discussion of basic to advanced topics in this book. A working knowledge of experimental design is also helpful. The text is completely revised and contains new material. All examples have been updated to SASŪ9. Includes a free CD-ROM with SAS sample code!
About the Authors

author photo Ramon C. Littell, Ph.D., Professor of Statistics at the University of Florida, is the coauthor of several books, including SAS System for Regression, Third Edition, and SAS for Linear Models, Fourth Edition. He has worked with SAS software since 1986. author photo George A. Milliken, Ph.D., Professor of Statistics at Kansas State University, has been using SAS software since 1974 and has extensive experience with the design and analysis of experiments using mixed models by incorporating the GLM, MIXED, GLIMMIX, and NLMIXED procedures.

author photo Walter W. Stroup, Ph.D., Professor and Chair of the Department of Statistics at the University of Nebraska, is the coauthor of SAS for Linear Models, Fourth Edition. He has been using SAS software since 1981. author photo Russell D. Wolfinger, Ph.D. is Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989. Before leading SAS scientific efforts, he authored the MIXED, MULTTEST, KDE, and NLMIXED procedures in SAS/STAT.

author photo Oliver Schabenberger, Ph.D., is Senior Research Statistician at SAS Institute and has been using SAS software since 1991. He maintains and develops mixed model software and is the author of the GLIMMIX procedure.  

Samples and Tips, Blogs, and More

Podcast Listen to an informative round-table discussion with its coauthors Ramon Littell, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger.
Co-author George Milliken was unavailable for this interview.

Listen to the archived interview.