Russell D. Wolfinger
Director of Scientific Discovery and Genomics, SAS 

Russell D. Wolfinger, PhD, is 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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Russell D. Wolfinger | SAS Support

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. 

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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.

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.

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

Extras and Events


Listen to an informative round-table discussion about SAS for Mixed Models, Second Edition with four of its co-authors

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

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