Manager, Analytical Education at SAS
Chip Wells is a Manager of Analytical Education at SAS Institute. A SAS user since 1991, Chip specializes in SAS Forecast Server, SAS Enterpriser Miner, SAS Model Manager, SAS/ETS, and SAS/OR. He received his PhD in economics from North Carolina State University.
By This Author
Applied Data Mining for Forecasting Using SAS®
Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large and identifies the correlation structure between selected candidate inputs and the forecast variable.
- Clark Abrahams, is Global Marketing Director, Governance, Risk, and Compliance, at SAS Institute Inc.
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Felicitas Kuehne is a Senior Scientist in Health Decision Science and Epidemiology and Coordinator of the Program on Causal Inference in Science at the Department of Public Health, Health Services Research and Health Technology Assessment at UMIT in Austria. She conducts decision-analytic modeling studies for causal research questions in several disease areas and teaches epidemiology and causal inference. She is the Coordinator of the HTADS course “Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: A Practical Hands-on Workshop.”