Randall D. Tobias
Before retiring, Randall D. Tobias, PhD, was the Director for Linear Models Research and Development at SAS Institute Inc. In addition to leading much of the SAS R&D for multiple comparisons, Randy has himself developed and supported many procedures in SAS/STAT and SAS/QC Software, including GLM, PLS, FACTEX, and OPTEX.
By This Author
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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.
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Multiple Comparisons and Multiple Tests Using SAS®
By: Peter Westfall, Randall Tobias, Dror Rom, Russell Wolfinger, and Yosef Hochberg
*Replaced by, Multiple Comparisons and Multiple Tests Using SAS®, Second Edition
Multiple Comparisons and Multiple Tests Using SAS®: Workbook
By: Peter Westfall, Randall Tobias
*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
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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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.
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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.