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Data Management Analysis Using by Oppenlander Jane (21 results)
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Condition: good. Pages are clean with normal wear. May have limited markings & or highlighting within pages & or cover. May have some wear & creases on the cover. The spine may also have minor wear. May not include CD DVD, access code or any other supplemental materials.
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Data Management and Analysis Using Jmp: Health Care Case Studies (Paperback or Softback)
Language: English
Published by SAS Institute 10/17/2017, 2017
ISBN 10: 1629603856 ISBN 13: 9781629603858
Paperback or Softback. Condition: New. Data Management and Analysis Using Jmp: Health Care Case Studies. Book.
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Condition: As New. Unread book in perfect condition.
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Data Management and Analysis Using JMP
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Data Management and Analysis Using JMP: Health Care Case Studies
Language: English
Published by SAS Institute 2017-10, 2017
ISBN 10: 1629603856 ISBN 13: 9781629603858
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Data Management and Analysis Using JMP®: Health Care Case Studies: Health Care Case Studies
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Data Management and Analysis Using Jmp : Health Care Case Studies
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Data Management and Analysis Using Jmp : Health Care Case Studies
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Condition: New. 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.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data Management and Analysis Using JMP Health Care Case Studies Health Care Case Studies
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Data Management and Analysis Using JMP: Health Care Case Studies
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Data Management and Analysis Using Jmp: Health Care Case Studies
Language: English
Published by Lightning Source UK Ltd, 2017
ISBN 10: 1629603856 ISBN 13: 9781629603858
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Add to basketPaperback. Condition: Brand New. 250 pages. 9.25x7.48x0.51 inches. This item is printed on demand.
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Condition: New. Print on Demand pp. 250.
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Condition: New. PRINT ON DEMAND pp. 250.
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Taschenbuch. Condition: Neu. Data Management and Analysis Using JMP | Health Care Case Studies | Jane E Oppenlander (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | SAS Institute | EAN 9781629603858 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
