Rick Wicklin
Distinguished Researcher, SAS
Rick Wicklin is a Distinguished Researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application. He received a PhD from Cornell University and has been a SAS user since 1997. Rick has presented numerous tutorials and papers at statistical and SAS users group conferences and is active in the American Statistical Association. Rick maintains a blog for statistical programmers at blogs.sas.com/content/iml.
By This Author
Simulating Data with SAS®
By Rick Wicklin
Brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers.
- Appendix A: A SAS/IML Primer
- Appendix B: Generating Multivariate Ordinal Variables
- Appendix C: Generating Random Correlation Matrices
- Appendix D: Functions for Simulating Data by Using Fleishman's Transformation
- Appendix E: Constructing a Moment-Ratio Diagram in SAS
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Statistical Programming with SAS/IML® Software
By Rick Wicklin
The first book to provide a comprehensive description of SAS/IML software and how to use it. Wicklin presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. It also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods.
*Our books are also available in print and e-book formats
from your local bookstore or favorite online bookseller.
Awards
2013-2014 Society for Technical Communication Carolina Chapter Technical Publications Competition: Award of Merit: Simulating Data with SAS®
2011-2012 Society for Technical Communication International Summit: Award of Excellence: Statistical Programming with SAS/IML® Software
2011-2012 Society for Technical Communication Carolina Chapter Technical Publications Competition: Award of Excellence: Statistical Programming with SAS/IML® Software
Featured Authors
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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.
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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.