Data Management and Analysis Using JMP
Language: English
Published by SAS Institute, 2017
- Softcover
- New
Condition: New
£ 47.97
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorJane E. 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 more tha.
Seller Inventory # 448185321
- Title
- Data Management and Analysis Using JMP
- Author
- Oppenlander, Jane E|Schaffer, Patricia
- Publisher
- SAS Institute
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1629603856
- ISBN 13
- 9781629603858
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. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field.
This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized.
The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.
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About the Author
"About the title" may belong to another edition of this title.
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