Handbook Statistics And Data Management
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Data Management Using Stata
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Author : Michael N Mitchell
language : en
Publisher: Stata Press
Release Date : 2020-06-25
Data Management Using Stata written by Michael N Mitchell and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with categories.
This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.
Handbook Statistics And Data Management
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Author : Dirk Stengel
language : en
Publisher: Thieme Medical Pub
Release Date : 2009
Handbook Statistics And Data Management written by Dirk Stengel and has been published by Thieme Medical Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Medical categories.
Applying new technologies, presenting your experience, and, of course, thinking of your current practice in the light of new evidence, needs some understanding of clinical research methodology. This book is not a textbook, but a brief guidance for clinical research practice. It aims at bridging the different points of view of statisticians and clinicians, but does not replace personal meetings and discussions between both professions at the earliest step of a clinical study. We hope that you find this book enjoyable, easy to read and understand, and helpful for improving your research skills. Me, the editors, and the authors hope that this book will help you to sort and focus your ideas when setting up a clinical study, and to understand why certain information should be expressed in this or that fashion, how data should be compiled, analyzed, and presented. This book is neither exhaustive nor complete; it just fits better into your daily business. - David L Helfet
Statistics Data Analytics For Health Data Management
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Author : Nadinia A. Davis
language : en
Publisher: Elsevier Health Sciences
Release Date : 2015-12-04
Statistics Data Analytics For Health Data Management written by Nadinia A. Davis and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-04 with Medical categories.
Introducing Statistics & Data Analytics for Health Data Management by Nadinia Davis and Betsy Shiland, an engaging new text that emphasizes the easy-to-learn, practical use of statistics and manipulation of data in the health care setting. With its unique hands-on approach and friendly writing style, this vivid text uses real-world examples to show you how to identify the problem, find the right data, generate the statistics, and present the information to other users. Brief Case scenarios ask you to apply information to situations Health Information Management professionals encounter every day, and review questions are tied to learning objectives and Bloom’s taxonomy to reinforce core content. From planning budgets to explaining accounting methodologies, Statistics & Data Analytics addresses the key HIM Associate Degree-Entry Level competencies required by CAHIIM and covered in the RHIT exam. Meets key HIM Associate Degree-Entry Level competencies, as required by CAHIIM and covered on the RHIT registry exam, so you get the most accurate and timely content, plus in-depth knowledge of statistics as used on the job. Friendly, engaging writing style offers a student-centered approach to the often daunting subject of statistics. Four-color design with ample visuals makes this the only textbook of its kind to approach bland statistical concepts and unfamiliar health care settings with vivid illustrations and photos. Math review chapter brings you up-to-speed on the math skills you need to complete the text. Brief Case scenarios strengthen the text’s hands-on, practical approach by taking the information presented and asking you to apply it to situations HIM professionals encounter every day. Takeaway boxes highlight key points and important concepts. Math Review boxes remind you of basic arithmetic, often while providing additional practice. Stat Tip boxes explain trickier calculations, often with Excel formulas, and warn of pitfalls in tabulation. Review questions are tied to learning objectives and Bloom’s taxonomy to reinforce core content and let you check your understanding of all aspects of a topic. Integrated exercises give you time to pause, reflect, and retain what you have learned. Answers to integrated exercises, Brief Case scenarios, and review questions in the back of the book offer an opportunity for self-study. Appendix of commonly used formulas provides easy reference to every formula used in the textbook. A comprehensive glossary gives you one central location to look up the meaning of new terminology. Instructor resources include TEACH lesson plans, PowerPoint slides, classroom handouts, and a 500-question Test Bank in ExamView that help prepare instructors for classroom lectures.
Data Management In R
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Author : Martin Elff
language : en
Publisher: SAGE
Release Date : 2020-12-02
Data Management In R written by Martin Elff and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Reference categories.
An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students how to recode and document data, as well as how to combine data from different sources, or import from statistical packages other than R.
The Data Book
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Author : Meredith Zozus
language : en
Publisher: CRC Press
Release Date : 2017-07-12
The Data Book written by Meredith Zozus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Computers categories.
The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.
Principles Of Data Management And Presentation
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Author : Dr. John P. Hoffmann
language : en
Publisher: Univ of California Press
Release Date : 2017-07-03
Principles Of Data Management And Presentation written by Dr. John P. Hoffmann and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-03 with Social Science categories.
The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.
Ao Trauma Statistics And Data Management
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Author : Dirk Stengel
language : en
Publisher: Georg Thieme Verlag
Release Date : 2009
Ao Trauma Statistics And Data Management written by Dirk Stengel and has been published by Georg Thieme Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
The Data Librarian S Handbook
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Author : Robin Rice
language : en
Publisher: Facet Publishing
Release Date : 2016-12-20
The Data Librarian S Handbook written by Robin Rice and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-20 with Language Arts & Disciplines categories.
An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. Key topics covered include: • the evolution of data libraries and data archives • handling data compared to other forms of information • managing and curating data to ensure effective use and longevity • how to incorporate data literacy into mainstream library instruction and information literacy training • how to develop an effective institutional research data management (RDM) policy and infrastructure • how to support and review a data management plan (DMP) for a project, a key requirement for most research funders • approaches for developing, managing and promoting data repositories • handling and sharing confidential or sensitive data • supporting open scholarship and open science, ensuring data are discoverable, accessible, intelligible and assessable. This title is for the practising data librarian, possibly new in their post with little experience of providing data support. It is also for managers and policy-makers, public service librarians, research data management coordinators and data support staff. It will also appeal to students and lecturers in iSchools and other library and information degree programmes where academic research support is taught.
Statistical Data Book
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Author : Dr. R.S. Nagarazan
language : en
Publisher: New Age International
Release Date : 2007
Statistical Data Book written by Dr. R.S. Nagarazan and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Quality control categories.
The Book Contains The Elaborated And Clearly Defined Parametric And Non-Parametric Designs. This Is The Unique Compilation Of The Concepts, Processes, Practices And Applications Of The Total Quality Management. The Book Has Been Revised And Updated With All The Relevant And Required Tables With Essential And Precise Details. The Revised Edition Has Been Categorized Into Three Different Sections As Per Their Respective Requirements And To Highlight The Importance. The Data Book Is Extremely Beneficial For The Students Of Master, Bachelor Degree, And Diploma Courses In Engineering, Technology And Management. It Will Also Be Useful For The Teachers, Research Scholars And Students In The Field Of Engineering And Technology.
Using R For Data Management Statistical Analysis And Graphics
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Author : Nicholas J. Horton
language : en
Publisher: CRC Press
Release Date : 2010-07-28
Using R For Data Management Statistical Analysis And Graphics written by Nicholas J. Horton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-28 with Mathematics categories.
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes