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Statistics Workbook for Evidence-based Health Care

Statistics Workbook for Evidence-based Health Care
Author: Jennifer Peat
Publisher: John Wiley & Sons
Total Pages: 192
Release: 2009-01-22
Genre: Medical
ISBN: 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 Research

Statistics for Health Care Research
Author: Susan K. Grove
Publisher: Saunders
Total Pages: 0
Release: 2007
Genre: Evidence-based medicine
ISBN: 9781416002260

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Statistics for Nursing Research

Statistics for Nursing Research
Author: Susan K. Grove
Publisher: Saunders
Total Pages: 512
Release: 2016-02-01
Genre:
ISBN: 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 for Evidence-Based Practice in Nursing

Statistics for Evidence-Based Practice in Nursing
Author: MyoungJin Kim
Publisher: Jones & Bartlett Publishers
Total Pages: 428
Release: 2017
Genre: Medical
ISBN: 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.


Evidence Based Practice Workbook Bridging the Gap Between Health Care Research and Practice 2E with Statistics Workbook Set

Evidence Based Practice Workbook Bridging the Gap Between Health Care Research and Practice 2E with Statistics Workbook Set
Author: Paul P. Glasziou
Publisher: Wiley-Blackwell
Total Pages: 0
Release: 2008-11-03
Genre: Medical
ISBN: 9780470471715

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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 clincal 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 for Health Care Professionals

Statistics for Health Care Professionals
Author: Ian Scott
Publisher: SAGE
Total Pages: 252
Release: 2005-02-09
Genre: Medical
ISBN: 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 Research - E-Book

Statistics for Nursing Research - E-Book
Author: Susan K. Grove
Publisher: Elsevier Health Sciences
Total Pages: 500
Release: 2019-09-19
Genre: Medical
ISBN: 0323674143

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Learn how to expand your interpretation and application of statistical methods used in nursing and health sciences research articles with Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 3rd Edition. Perfect for those seeking to more effectively build an evidence-based practice, this collection of practical exercises guides you in how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing research and statistics experts Drs. Susan K. Grove and Daisha Cipher, this is the only statistics workbook for nurses to include research examples from both nursing and the broader health sciences literature. This new third edition features new research article excerpts and examples, an enhanced focused on statistical methods commonly used in DNP projects, new examples from quality improvement projects, new content on paired samples analysis, expanded coverage of calculating descriptive statistics, an online Research Article Library, and more! Whether used in undergraduate, master’s, or doctoral education or in clinical practice, this workbook is an indispensable resource for any nursing student or practicing nurse needing to interpret or apply statistical data. Comprehensive coverage and extensive exercise practice address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and health sciences literature. Literature-based approach uses key excerpts from published studies to reinforce learning through practical application. 36 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced statistical techniques. Study Questions in each chapter help you apply concepts to an actual literature appraisal. Questions to Be Graded sections in each chapter help assess your mastery of key statistical techniques. Consistent format for all chapters enhances learning and enables quick review. NEW! Updated research articles and examples are incorporated throughout to ensure currency and relevance to practice. NEW! Enhanced focus on statistical methods commonly used in DNP projects and expanded coverage on calculating descriptive statistics broadens your exposure to the statistical methods you will encounter in evidence-based practice projects and in the literature. NEW! Examples from quality improvement projects provide a solid foundation for meaningful, high-quality evidence-based practice projects. NEW! Research Article Library on Evolve provides full-text access to key articles used in the book. NEW! Content on paired samples analysis familiarizes you with this type of research analysis. NEW! Many figures added to serveral exercises to help you understand statistical concepts.


Evidence-Based Practice Workbook

Evidence-Based Practice Workbook
Author: Paul P. Glasziou
Publisher: John Wiley & Sons
Total Pages: 208
Release: 2009-02-04
Genre: Medical
ISBN: 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.


Statistical Methods in Healthcare

Statistical Methods in Healthcare
Author: Frederick W. Faltin
Publisher: John Wiley & Sons
Total Pages: 533
Release: 2012-07-24
Genre: Medical
ISBN: 1119942047

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Statistical Methods in Healthcare In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development. Offers a broad coverage of standards and established methods through leading edge techniques. Uses an integrated case study based approach, with focus on applications. Looks at the use of analytical and monitoring schemes to evaluate therapeutic performance. Features the application of modern quality management systems to clinical practice, and to pharmaceutical development and production processes. Addresses the use of modern statistical methods such as Adaptive Design, Seamless Design, Data Mining, Bayesian networks and Bootstrapping that can be applied to support the challenging new vision. Practitioners in healthcare-related professions, ranging from clinical trials to care delivery to medical device design, as well as statistical researchers in the field, will benefit from this book.


Statistics in Medicine

Statistics in Medicine
Author: Robert H. Riffenburgh
Publisher: Academic Press
Total Pages: 680
Release: 2006
Genre: Business & Economics
ISBN:

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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