Jane Oppenlander
Professor, Clarkson University
Jane Oppenlander is a professor at Clarkson University where she teaches statistics for the School of Business and the Clarkson University-Ichan School of Medicine at Mount Sinai Bioethics Program. She has over 30 years of experience applying statistics and operations research in the energy industry. Jane is a certified Six Sigma Black Belt. In addition, she has consulted and published in the fields of transportation engineering, critical care medicine, educational assessment, and nursing. Her current research interests include statistics education, adult learning, evidence-based nursing practice, and empirical bioethics. A long-time JMP and SAS user, she received her PhD in Administrative and Engineering Systems from Union College and an MS in statistics, BA in mathematics, and a BS in education, all from the University of Vermont.
By This Author
Data Management and Analysis Using JMP®: Health Care Case Studies
By Jane E. Oppenlander and Patricia Schaffer
Written for both beginner and intermediate JMP® users working in or studying health care, Data Management and Analysis Using JMP®: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace.
JMP® Means Business: Statistical Models for Management
By Josef Schmee and Jane Oppenlander
Covers basic methods and models of classical statistics. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics, the book discusses data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency tables, simple and multiple regression, and exponential smoothing of time series.
*This book is out of print.
Featured Authors
-
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.
-
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.
-
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.
-
Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.