Walter W. Stroup
Professor of Statistics, University of Nebraska
Walter W. Stroup, PhD, is a professor in the Department of Statistics at the University of Nebraska–Lincoln. He teaches courses in statistical design, analysis, and modeling, his research specializations being statistical modeling and design. He has used SAS since 1976. He is author of Generalized Linear Mixed Models: Modern Concepts, Methods and Applications and coauthor of SAS for Mixed Models, Second Edition , and SAS for Linear Models, Fourth Edition . He is a member of the Stability Shelf Life Working Group of the Product Quality Research Institute (PQRI), a consortium that sponsors partnerships between industry, government, and academia on scientific matters of consequence in pharmaceutical science. Dr. Stroup received PQRI’s Outstanding Researcher Award in 2009. He served as chair of the University of Nebraska’s Department of Biometry from 2001 to 2003 and founding chair of Nebraska’s Department of Statistics from 2003 to 2010. He was inducted as an American Statistical Association Fellow in 2008. He completed his master’s degree and doctorate at Harvard University.
By This Author
SAS® for Mixed Models: An Introduction and Basic Applications
By Walter W. Stroup, George A. Milliken, Elizabeth A. Claassen, and Russell D. Wolfinger
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. 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.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
SAS® for Mixed Models, Second Edition
By Ramon C. Littell, George A. Milliken, Walter W. Stroup, Russell D. Wolfinger,
and Oliver Schabenberger
Describes the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures. Includes random effect only and random coefficients models; split-plot, multi-location, and repeated measures models; hierarchical models with nested random effects; and much more.
Awards
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
Featured Authors
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.