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
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
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.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.