Jim Blum
Professor of Statistics, UNC-Wilmington
Jim Blum is a Professor of Statistics at the University of North Carolina Wilmington where he has developed and taught original courses in SAS programming for the university for more than 15 years. These courses cover topics in SAS/BASE, SAS/SQL, SAS/STAT, and macro language. He also regularly teaches courses in regression, experimental design, categorical data analysis, and mathematical statistics; and he is a primary instructor in UNC Wilmington’s Data Science program which debuted in fall 2017. Jim has experience as a consultant on data analysis projects in clinical trials, finance, public policy and government, and marine science and ecology. He earned his Ph.D. in Statistics from Oklahoma State University in 2000.
By This Author
Fundamentals of Programming in SAS® : A Case Studies Approach
By Jim Blum and Jonathan Duggins
Written specifically for classroom use, this title will give new SAS users, including those seeking Base Programmer certification, an in-depth introduction to all the topics required to become a proficient SAS programmer. Topics include working with data in various forms and data manipulation, creating a variety of tabular and visual summaries of data, as well as data validation and good programming practices. The book pursues learning objectives in a spiral curriculum that returns to build upon topics introduced earlier, and at its core uses large-scale projects presented as case studies.
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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.
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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.