International Business School at Brandeis University
Robert Carver is a senior lecturer at the International Business School at Brandeis University in Waltham, Massachusetts. Prior to his retirement, he was also Professor of Business Administration at Stonehill College in Easton, Massachusetts. At both institutions, he has taught courses on business analytics in addition to general management courses, and he has won teaching awards at both schools. His primary research interest is statistics education. A JMP user since 2006, Carver holds an AB in political science from Amherst College in Amherst, Massachusetts, and an MPP and PhD in public policy from the University of Michigan at Ann Arbor.
By This Author
Practical Data Analysis with JMP®, Third Edition
By Robert H. Carver
Robert Carver's Practical Data Analysis with JMP, Third Edition uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It enables you to discriminate among and to use fundamental techniques of analysis, enabling you to engage in statistical thinking by analyzing real-world problems. “Application Scenarios” at the end of each chapter challenge you to put your knowledge and skills to use with data sets that go beyond mere repetition of chapter examples. In addition, the scope and sequence of the chapters have been updated with more coverage of data management and analysis of data.
Preparing Data for Analysis with JMP®
By Robert Carver
An introduction on how to use JMP to manage data for analysis. The book is organized within a framework of statistical investigations and model-building (where data acquisition and prep commonly eat up something like 75% of the effort and time) and in doing so illustrates the new data handling features in JMP, such as Query Builder.
- 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.”
- Prof. Uwe Siebert, MD, MPH, MSc, ScD is a Professor of Public Health, Medical Decision Making and Health Technology Assessment, and Chair of the Department of Public Health, Health Services Research and HTA at UMIT – University for Health Sciences, Medical Informatics and Technology in Austria. He is also Adjunct Professor of Health Policy and Management at the Harvard Chan School of Public Health.