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

Oppenlander, Jane E.; Schaffer, Patricia

Brossura

ISBN 10: 1629603856 ISBN 13: 9781629603858

Casa editrice: SAS Institute, 2017

Riassunto

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.

Su questo libro

Informazioni sull?autore

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. Patricia Schaffer is President of Total Quality Associates, Inc., a New York-based consulting firm. Pat has worked with private and public sector information systems for over 30 years with a concentration in the design, development, implementation, and quality assurance of data warehouse and master data management solutions. Most recently, Pat has worked with the States of New York and Arizona on their Health Benefit Exchange projects in the areas of data modeling, reporting, and data warehousing. She has worked as the quality assurance project manager for the State of New York s Medicaid Data Warehouse, technical architect for the State of New Jersey s Decision Support System, Data Architect for the New York State Office of Children and Family Services Datamart, and subject matter professional for the City of New York s HHS-Connect Master Data Management implementation. Pat has also worked in the pharmaceutical, nuclear navy, and newspaper industries in a variety of data management positions. She also held the position of adjunct professor of Management Information Systems at Union Graduate College in Schenectady, NY.

Dal risvolto di copertina interno

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.

Dettagli dell'edizione

• Editore: SAS Institute
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1629603856
• ISBN 13: 9781629603858
• Rilegatura: Copertina flessibile
• Numero di pagine: 250
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile