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SAS Books - Walter Stroup Author Page

About Walter Stroup

Walter Stroup author picture
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.
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podcast Listen to an informative round-table discussion about SAS for Mixed Models, Second Edition with four of its co-authors

Awards
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2006-2007 Society for Technical Communication, Carolina Chapter: Technical Publications Competition

Distinguished Award - Software Guides
SAS for Mixed Models, Second Edition

Award of Excellence - Promotional Materials
SAS for Mixed Models, Second Edition

2006-2007 Society for Technical Communication, International: Technical Publications Competition

Award of Excellence - Software Guides
SAS for Mixed Models, Second Edition

Coming Soon!

SAS for Mixed Models: An Introduction cover image SAS® for Mixed Models: An Introduction
By Walter W. Stroup, Ph.D., George A. Milliken, Ph.D., Elizabeth A. Claassen and Russell D. Wolfinger, Ph.D.

Anticipated publication date: Third quarter 2017

An indispensable, comprehensive update to both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, SAS® for Mixed Models: An Introduction empowers SAS users with the latest capabilities for a variety of applications featuring the SAS GLIMMIX, MIXED, and NLMIXED procedures. Mixed models are now the mainstream vehicle for analyzing most research data. They are part of the core curriculum in most master's degree programs in statistics and data science, making this guide the ideal textbook or companion manual. Written for professors and instructors of statistics, graduate students, scientists, junior and senior statisticians in business or government—and any other decision makers who use statistics, 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 software. In addition, readers with a basic knowledge of linear models and matrix algebra will find additional background that expands their knowledge.

This book includes comprehensive coverage of mixed models tools to help analysts plan new studies. Presentation of the models integrates the underlying theory, the model forms for various applications, and a wealth of examples from different fields of study. Because SAS Proc GLIMMIX is the most comprehensive and sophisticated mixed model software on the market, the authors of SAS for Mixed Models have converted most of their earlier examples from Proc MIXED to Proc GLIMMIX, highlighting Proc GLIMMIX's new features.

This up-to-date book includes greatly expanded coverage of mixed models for non-normal data, and mixed-model-based precision and power analysis. Topics include the following:

  • Random-effect-only and random-coefficients models
  • Split-plot, multilocation, and repeated measures models
  • Hierarchical models with nested random effects
  • Analysis of covariance models
  • Generalized linear mixed models

No other mixed model book makes consistent use of Proc MIXED, much less Proc GLIMMIX. This go-to examples guide and comprehensive reference on mixed models therefore fills a gap left by other books that are outdated or address theory while remaining almost mute on applications.

By This Author

SAS for Linear Models, Fourth Edition book cover SAS for Mixed Models, Second Edition book cover

SAS for Linear Models, Fourth Edition

By Dr. Ramon C. Littell, Walter Stroup, and Dr. Rudolf J. Freund

Table of Contents (PDF) Excerpt (PDF) Example Code and Data Reviews Buy now

SAS for Mixed Models, Second Edition

By Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger, and Oliver Schabenberger

Table of Contents (PDF) Excerpt (PDF) Example Code and Data Updates Reviews Buy now