Ruth M. Hummel
Senior Manager of Analytical Education, SAS
Ruth M. Hummel, PhD, is a Senior Manager of Analytical Education at SAS. Dr. Hummel develops curricula, teaches, and consults to help researchers and practitioners apply statistical methods and analytics to solving problems, predominantly in the health and life sciences. Prior to joining SAS in 2016, she worked at the Environmental Protection Agency as the statistical expert for the Risk Assessment Division of the Office of Pollution Prevention and Toxics, and she taught and consulted at the Pennsylvania State University and at the University of Florida. Dr. Hummel is a co-author of Business Statistics and Analytics in Practice, 9th edition, a business statistics textbook emphasizing simple data mining techniques earlier in the standard curriculum. She has a PhD in statistics from the Pennsylvania State University.
By This Author
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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Featured Authors
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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.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.