Russell D. Wolfinger
Distinguished Research Fellow, SAS
Russell D. Wolfinger, PhD, is a Distinguished Research Fellow at SAS. Prior, he was the Director of Scientific Discovery and Genomics at SAS, a department he started, where he leads research and development of JMP and SAS software solutions in the domains of genomics and clinical trials. Dr. Wolfinger devoted 10 years to developing and promoting SAS statistical procedures for mixed models and multiple testing. He has co-authored more than 100 publications, including three books. He is a Kaggle Grandmaster, as well as a Fellow of both the American Association for the Advancement of Science and the American Statistical Association.
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Multiple Comparisons and Multiple Tests Using SAS®, Second Edition
By Peter Westfall, Randall Tobias, and Russell Wolfinger
Provides cutting-edge methods, specialized macros, and proven "best bet" procedures. The specialized macros and dozens of real-world examples illustrate solutions for a broad variety of problems that call for multiple inferences. The book also discusses the pitfalls and advantages of various methods, thereby helping you decide which is the most appropriate for your purposes.
*Our books are also available in print and e-book formats
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JMP® for Mixed Models
By Ruth M. Hummel, Elizabeth A. Claassen, and Russell D. Wolfinger
JMP® for Mixed Models is a comprehensive introduction to and reference manual on the use of mixed models with JMP software. The topics covered are analysis of simple, intermediate and complex experiments using mixed model methods in JMP, specifically DOE, single and multiple random effect models, repeated measures and spatial models, random coefficient models, and power analysis. Mixed models are essential for researchers and data analysts, and JMP is the ideal visual and intuitive tool, with a unique approach to graphical statistics.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
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.
Multiple Comparisons and Multiple Tests Using SAS
By: Peter Westfall, Randall Tobias, Dror Rom, Russell Wolfinger, and Yosef Hochberg
*Out of print and replaced by Multiple Comparisons and Multiple Tests Using SAS®, Second Edition
Awards
2011-2012 Society for Technical Communication International Summit - Merit Winner: Multiple Comparisons and Multiple Tests Using SAS, Second Edition
2011-2012 Society for Technical Communication Carolina Chapter - Technical Publications Competition, Distinguished Winner: Multiple Comparisons and Multiple Tests Using SAS, Second Edition
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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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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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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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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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.