Data Management and Analysis Using JMP®: Health Care Case Studies: Health Care Case Studies - Softcover

Oppenlander, Jane E.; Schaffer, Patricia

Softcover

ISBN 10: 1629603856 ISBN 13: 9781629603858

Verlag: SAS Institute, 2017

Inhaltsangabe

A holistic, step-by-step approach to analyzing health care data!

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Jane 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 than 30 years of experience applying statistics and operations research in the energy industry. Jane is a certified Six Sigma Master Black Belt. A long-time JMP and SAS user, she received her Ph.D. in Administrative and Engineering Systems from Union College in Schenectady, New York.

Aus dem Klappentext

A holistic, step-by-step approach to analyzing health care data! 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.

Details zur Ausgabe

• Verlag: SAS Institute
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1629603856
• ISBN 13: 9781629603858
• Einband: Taschenbuch
• Anzahl der Seiten: 250
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar