Statistics for Evidence-Based Practice in Nursing

Statistics for Evidence-Based Practice in Nursing

Author: MyoungJin Kim

Publisher: Jones & Bartlett Publishers

Published: 2017

Total Pages: 428

ISBN-13: 1284088375

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Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse.


Statistics for Nursing Research

Statistics for Nursing Research

Author: Susan K. Grove

Publisher: Saunders

Published: 2016-02-01

Total Pages: 512

ISBN-13: 9780323358811

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Understand the statistical methods used in nursing research articles! Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. Comprehensive coverage includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature. A literature-based approach incorporates a relevant research article into each exercise/chapter, with key excerpts. 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice. Consistent format for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. Study questions in each chapter help you apply concepts to clinical practice. Questions to Be Graded in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques. A concise index makes it easy to locate information quickly. NEW examples show the latest, high-quality research studies. NEW! Expanded coverage helps undergraduate students apply the information learned in statistics and research courses, serves as a refresher/review for graduate students, and also helps in critically appraising studies to determine whether their findings may be used in evidence-based practice. NEW! Understanding Statistical Methods section includes exercises to help in understanding the levels of measurement (nominal, ordinal, interval, and ratio) and in appraising the samples and measurement methods in studies. NEW! Conducting and Interpreting Statistical Analyses section includes exercises to help in understanding the power analysis and how to conduct a power analysis for a study, showing how to determine the most appropriate statistical method(s) for analyzing data for a class project, for a clinical agency project, or for an actual research study. NEW! Answers to study questions are located in the back of the book.


Statistics Workbook for Evidence-based Health Care

Statistics Workbook for Evidence-based Health Care

Author: Jennifer Peat

Publisher: John Wiley & Sons

Published: 2009-01-22

Total Pages: 192

ISBN-13: 1444300504

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This concise, easy to understand and learner-friendly book invitesthe readers to actively particpate in the understanding of medicalstatistical concepts that are frequently used in health careresearch and evidence-based practice worldwide. Knowing that the best way to learn statistical concepts is touse them, the authors employ real examples and articles from healthscience literature, complete with the complexities that real lifepresents, in an approach that will help bring researchers andclinicians one step closer towards being statistical savvy andbetter able to critically read research literature and interpretthe results. A practical hands-on workbook for individual or groupexercises Teaches how to understand statistical methods when readingjournals, and how to use them in clinical research Emphasizes the use of statistics in evidence-basedresearch Relevant for anyone needing to use statistics, this workbook isan ideal resource for all health care professionals and students,especially those learning and practising evidence-basedmedicine.


Statistics for Health Care Professionals

Statistics for Health Care Professionals

Author: Ian Scott

Publisher: SAGE

Published: 2005-02-09

Total Pages: 252

ISBN-13: 9780761974765

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Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.


Statistics for Nursing and Allied Health

Statistics for Nursing and Allied Health

Author: Stacey Beth Plichta

Publisher: Lippincott Williams & Wilkins

Published: 2009

Total Pages: 436

ISBN-13: 9780781754590

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This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.


Evidence-Based Practice Workbook

Evidence-Based Practice Workbook

Author: Paul P. Glasziou

Publisher: John Wiley & Sons

Published: 2009-02-04

Total Pages: 208

ISBN-13: 0470766050

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The Evidence-based Practice Workbook is an ideal tool for use by GPs, medical specialists and other healthcare professionals to learn the concepts of evidence-based practice (EBP). Practical and interactive, this workbook provides simple methods to help health professionals find and use the best evidence to answer clinical questions, developing their skills in: asking clinical questions searching for answers discriminating good from poor information and research using the answers to make clinical decisions. This attractive, colour workbook provides a clear explanation of EBP skills and concepts. Written by internationally respected authors, this expanded and updated edition has been developed from evidence-based practice workshops run by the Centre for Evidence-Based Medicine at the University of Queensland and Oxford, and contains information and exercises to help health professionals learn how to use EBP in their clinical practice.


Statistics in Medicine

Statistics in Medicine

Author: Robert H. Riffenburgh

Publisher: Academic Press

Published: 2006

Total Pages: 680

ISBN-13:

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Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises Two-part design features course material and a professional reference section Chapter summaries provide a review of formulas, method algorithms, and check lists Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions Updated database coverage and additional exercises Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough discussion on required sample size


Evidence-Based Public Health Practice

Evidence-Based Public Health Practice

Author: Arlene Fink

Publisher: SAGE

Published: 2013

Total Pages: 329

ISBN-13: 1412997445

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Designed for students and practitioners, this practical book shows how to do evidence-based research in public health. As a great deal of evidence-based practice occurs online, it focuses on how to find, use, and interpret online sources of public health information. It also includes examples of community-based participatory research and shows how to link data with community preferences and needs.


How to Read a Paper

How to Read a Paper

Author: Trisha Greenhalgh

Publisher: John Wiley & Sons

Published: 2019-05-06

Total Pages: 290

ISBN-13: 111948474X

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Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental step of inquiry, from searching the literature to assessing methodological quality and appraising statistics. How to Read a Paper addresses the common criticisms of evidence-based healthcare, dispelling many of its myths and misconceptions, while providing a pragmatic framework for testing the validity of healthcare literature. Now in its sixth edition, this informative text includes new and expanded discussions of study bias, political interference in published reports, medical statistics, big data and more. Offers user-friendly guidance on evidence-based healthcare that is applicable to both experienced and novice readers Authored by an internationally recognised practitioner and researcher in evidence-based healthcare and primary care Includes updated references, additional figures, improved checklists and more How to Read a Paper is an ideal resource for healthcare students, practitioners and anyone seeking an accessible introduction to evidence-based healthcare.