Brian Everitt
Professor Emeritus
Brian Everitt is Professor Emeritus at King's College, London. He is the co-author of Basic Statistics Using SAS® Enterprise Guide: A Primer, Applied Medical Statistics Using SAS®, A Handbook of Statistical Analyses Using SAS®, Second Edition and Statistical Analysis of Medical Data Using SAS®.
By This Author
Basic Statistics Using SAS® Enterprise Guide: A Primer
By Geoff Der and Brian S. Everitt
Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this book shows you how to conduct a wide range of statistical analyses without any SAS programming required.
*This book is out of print.
Applied Medical Statistics Using SAS®
A Handbook of Statistical Analyses using SAS®, Third Edition
By Geoff Der and Brian S. Everitt
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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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.
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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.