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SAS for Mixed Models, Second Edition 2nd Edition

4.1 4.1 out of 5 stars 22 ratings
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The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models.

Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered.

This book is part of the SAS Press program.
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  1. ISBN-10
    1590475003
  2. ISBN-13
    978-1590475003
  3. Edition
    2nd
  4. Publisher
    SAS Institute
  5. Publication date
    February 21, 2006
  6. Language
    English
  7. Dimensions
    8.75 x 1.25 x 11.25 inches
  8. Print length
    828 pages
  9. See all details
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Editorial Reviews

Review

"With an abundance of new material and a thorough updating of material from the first edition, SAS for Mixed Models, Second Edition will be of inordinate interest to those of us engaged in the modeling of messy continuous and categorical data. It contains several new chapters, and its printed format makes this a much more readable version than its predecessor. We owe the authors a tip of the hat for providing such an invaluable compendium." --Timothy G. Gregoire, J. P. Weyerhaeuser Professor of Forest Management, School of Forestry and Environmental Studies, Yale University

"This extensively updated second edition of SAS for Mixed Models will be an essential reference for anyone involved in mixed modeling. A decade of experience has been incorporated into each chapter with three completely new chapters on mixed model diagnostics, power calculations, and Bayesian approaches. The book is filled with practical advice for dealing with important issues that come up with real data, such as avoiding common pitfalls in modeling, correctly interpreting output, troubleshooting nonlinear mixed model fitting and choosing from among the multiple SAS procedures/macros now available.


The already distinguished group of authors has been further enhanced with the addition of Oliver Schabenberger, the developer of the new GLIMMIX procedure and an expert in spatial modeling and mixed model diagnostics. The procedures that are new since the first edition, NLMIXED and GLIMMIX, are extensively covered. Examples of new graphics and new output from the GLIMMIX procedure are scattered throughout the book because of their usefulness in both standard linear mixed modeling and generalized linear mixed modeling." --Cliff Pereira, Department of Statistics, Oregon State University

With an abundance of new material and a thorough updating of material from the first edition, SAS for Mixed Models, Second Edition will be of inordinate interest to those of us engaged in the modeling of messy continuous and categorical data. It contains several new chapters, and its printed format makes this a much more readable version than its predecessor. We owe the authors a tip of the hat for providing such an invaluable compendium. --Timothy G. Gregoire, J. P. Weyerhaeuser Professor of Forest Management, School of Forestry and Environmental Studies, Yale University

About the Author

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.

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.

Walter W. Stroup, Ph.D., is currently professor in the Department of Statistics at the University of Nebraska. His responsibilities include teaching statistical modeling, design of experiments, and research applications of mixed models in collaboration with researchers in agriculture, natural resources, medical and pharmaceutical sciences, education, and the behavioral sciences. Dr. Stroup received a B.A. degree in psychology from Antioch College, and M.S. and Ph.D. degrees in statistics from the University of Kentucky. He is widely published in statistical and applied journals and has participated in a number of symposia on issues in statistical consulting and statistical modeling. He has taught numerous short courses and workshops on generalized linear mixed models. A SAS user since 1975, Dr. Stroup is coauthor of SAS for Linear Models, Fourth Edition, SAS for Mixed Models, both editions. In additional, Dr. Stroup is author of Generalized Linear Mixed Models: Modern Concepts, Methods and Applications, an introduction to GLMMs that makes extensive use of SAS examples.

Russell D. Wolfinger, Ph.D. is Director of Scientific Discovery and Genomics at SAS Institute Inc., where he has worked since 1989. Before leading SAS scientific efforts, he authored the MIXED, MULTTEST, KDE, and NLMIXED procedures in SAS/STAT.

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.

Product details

  • Publisher ‏ : ‎ SAS Institute; 2nd edition (February 21, 2006)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 828 pages
  • ISBN-10 ‏ : ‎ 1590475003
  • ISBN-13 ‏ : ‎ 978-1590475003
  • Item Weight ‏ : ‎ 4.93 pounds
  • Dimensions ‏ : ‎ 8.75 x 1.25 x 11.25 inches
  • Customer Reviews:
    4.1 4.1 out of 5 stars 22 ratings

Customer reviews

4.1 out of 5 stars
4.1 out of 5
22 global ratings
Don't buy Kindle version
1 Star
Don't buy Kindle version
Excellent book - essential if you're serious about mixed model analysis in SAS. Unfortunately, the Kindle version is worthless - given that this is a statistics book, you would think the editors would pay particular attention that equations and notation are accurately rendered... not so in this case. One example - the authors use Greek and Latin symbols to differentiate notation between fixed and random effects - all show up in Latin characters here. In other situations, the rendered versions of the equations are completely illegible, even when zoomed - BUY THE PRINT VERSION (or get the scanned e-version on Google Books). Pic 1 shows an excerpt as rendered in Kindle (with a simultaneously amusing and frustrating example highlighted). Pic 2 shows the same excerpt from the Google e-book version.
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Top reviews from the United States

Best_deals
5.0 out of 5 stars A very informative book!
Reviewed in the United States on December 27, 2008
Verified Purchase
I actually did the price hunting and bought this book for my wifee. She said that she was pleased with it and often uses it as a 'consulting' book for her job. Sorry I can't help much more here since I don't work with it and she is not the 'reviewing' kind. But the price I paid for it at Amazon was great with free shipping.
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Bear Wandering
5.0 out of 5 stars Classic book
Reviewed in the United States on February 16, 2013
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It is a classic book in mixed models. It will get anybody who is new to mixed models to start to use this family of models.
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Randall S. Collica
4.0 out of 5 stars Excellent for use and reference.
Reviewed in the United States on June 17, 2009
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This book is excellent for showing the basic theory and practical examples of mixed models and how they can be easily implemented using SAS. I think there should have been a chapter on other non-statistical issues concerning how models can be implemented, such as scoring new observations with a mixed-effects regression model, or data preparation for these models, etc. Other than that, it is an excellent book and use it when the need for mixed-models arises in workplace.
3 people found this helpful
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KY customer
1.0 out of 5 stars Don't buy Kindle version
Reviewed in the United States on August 1, 2018
Verified Purchase
Excellent book - essential if you're serious about mixed model analysis in SAS. Unfortunately, the Kindle version is worthless - given that this is a statistics book, you would think the editors would pay particular attention that equations and notation are accurately rendered... not so in this case. One example - the authors use Greek and Latin symbols to differentiate notation between fixed and random effects - all show up in Latin characters here. In other situations, the rendered versions of the equations are completely illegible, even when zoomed - BUY THE PRINT VERSION (or get the scanned e-version on Google Books). Pic 1 shows an excerpt as rendered in Kindle (with a simultaneously amusing and frustrating example highlighted). Pic 2 shows the same excerpt from the Google e-book version.
Customer image
KY customer
1.0 out of 5 stars Don't buy Kindle version
Reviewed in the United States on August 1, 2018
Excellent book - essential if you're serious about mixed model analysis in SAS. Unfortunately, the Kindle version is worthless - given that this is a statistics book, you would think the editors would pay particular attention that equations and notation are accurately rendered... not so in this case. One example - the authors use Greek and Latin symbols to differentiate notation between fixed and random effects - all show up in Latin characters here. In other situations, the rendered versions of the equations are completely illegible, even when zoomed - BUY THE PRINT VERSION (or get the scanned e-version on Google Books). Pic 1 shows an excerpt as rendered in Kindle (with a simultaneously amusing and frustrating example highlighted). Pic 2 shows the same excerpt from the Google e-book version.
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One person found this helpful
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OD24
5.0 out of 5 stars good
Reviewed in the United States on January 18, 2012
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The book looks new and disc is usable. Shipped fast.It's on time. I am very satisfied about the condition of the book.
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JoJo Chien
5.0 out of 5 stars good
Reviewed in the United States on September 26, 2007
Verified Purchase
A pretty good book which is very suitable for some people who needs to use the mixed model. The content of this version is better than the previous version. I recommend this book.
One person found this helpful
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Joao
5.0 out of 5 stars Five Stars
Reviewed in the United States on September 18, 2015
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Excellent book. Useful for agri sciences.
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Thomas Spentzas
4.0 out of 5 stars review
Reviewed in the United States on December 23, 2007
Verified Purchase
Positive: 1.Well written in a field with limited sources.
Negative: 2. Not enough explanations for a lot of procedures.
2. Expensive
4 people found this helpful
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Top reviews from other countries

Paul
5.0 out of 5 stars Good for learning SAS and mixed models
Reviewed in Canada on May 19, 2014
Verified Purchase
I have a variety of stats books on mixed models, which I pass along to my staff. This book stands out because of its excellent examples and plain-language descriptions of the methods and models.
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