Author: Ian Scott
Release Date: 2014-03-14
This book introduces you to the basic rules and principles of statistics and shows you how straightforward statistical tests can be performed and analysed in relation to healthcare. Key features of the text are: -Examples which show how statistics are used in the real world -Exercises to test your understanding and develop your proficiency -A glossary to remind you of key terms. -Additional online material including guides to using Microsoft Excel and SPSS and sample datasets.
Author: James E. Veney
Publisher: John Wiley & Sons
Release Date: 2009-08-07
Statistics for Health Care Professionals: Working with Excel (second edition) is written in a clear, easily followed style keyed to the powerful statistical tool, Microsoft Excel 2007. It introduces the use of statistics applicable to health administration, health policy, public health, health information management, and other professions, emphasizing the logic of probability and statistical analysis in all areas. Coverage includes data acquisition, data display, basics of probability, data distributions, confidence limits and hypothesis testing, statistical tests for categorical data, tests for related and unrelated data, analysis of variance, simple linear regression, multiple regression, and analysis with a dichotomous categorical dependent variable. A glossary and section-by-section review questions round out this uniquely comprehensive and accessible text.
Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.
Author: Martin Bland
Publisher: OUP Oxford
Release Date: 2015-07-23
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
Author: Heather M. Bush
Publisher: Cengage Learning
Release Date: 2011-08-17
BIOSTATISTICS: AN APPLIED INTRODUCTION FOR THE PUBLIC HEALTH PRACTITIONER is designed to help public health researchers, practitioners, and students understand and apply essential biostatistics concepts. This innovative new text emphasizes real-world public health problems and the research questions they inspire. This text provides a unique introduction to statistical concepts and methods used by working professionals during investigations. Unlike other texts that assume a strong knowledge of mathematics or rely heavily on formulas, BIOSTATISTICS consistently emphasizes the public health context, making even complex material both accessible and relevant. The first chapter introduces common statistical terminology by explaining them in clear language, while subsequent chapters explore the most useful and versatile statistical methods for a variety of public health research questions. For each type of question, the author presents a range of applicable methods, from descriptions of data to simple statistical tests, generalized linear models, and multiple variable regression. The text's step-by-step coverage of fundamental concepts is perfect for students new to the field, but its depth and detail also make it ideal for two-course series in M.P.H. or M.H.A. programs, or for working professionals. Readers at all stages of their professional lives can draw on this invaluable resource to help them interpret and conduct statistical studies and support effective evidence-based practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Peggy S. Stanfield
Publisher: Jones & Bartlett Publishers
Release Date: 2011-08-05
Completely updated, Introduction to the Health Professions, Sixth Edition provides the most current, comprehensive coverage of all the major health professions. This popular text outlines more than 75 careers and touches on every major facet of the field including training requirements, job responsibilities, and salaries. This fundamental resource provides a thorough review of the U.S. healthcare delivery system, managed care, health care financing, reimbursement, insurance coverage, Medicare, Medicaid, and the impact of new technology on healthcare services. Written specifically for students who plan to become healthcare professionals, this text will give you all the information you need for a successful career! Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.
Author: Raymond G. Carey
Publisher: ASQ Quality Press
Release Date: 1995-01-01
Genre: Health & Fitness
This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings. The authors' straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates "the voice of the customer" as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership.
Author: Stephen McKenzie
Publisher: Elsevier Health Sciences
Release Date: 2014-03-18
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Author: Nadinia A Davis
Publisher: Elsevier Health Sciences
Release Date: 2015-12-28
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."
Author: Manfred Stommel, PhD
Publisher: Springer Publishing Company
Release Date: 2014-06-09
This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of clinical research articles that use increasingly complex statistical techniques. It addresses clinically relevant topics in biostatistics beyond the usual introduction to linear models, such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical inference and statistical models to support correct interpretation and effective translation into practice. It promotes appropriate statistical method selection for conducting translational research. With a focus on disseminating information in easily understandable language, the text addresses basic statistical reasoning and four different classes of statistical models. The appendix provides refreshers on the algebraic underpinnings of statistics. More complex algebraic derivations are highlighted in boxes throughout the text chapters. The text explains how to work with the exponential expressions and logarithms necessary for the interpretation of logistic and hazard regression models and features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters include examples from current research and multiple exercises designed to reinforce learning. Key Features: End-of-chapter exercises include both problems of interpretation and numerical problems that can be solved via hand calculations. For instructors and students interested in practical data analysis, data sets and practice problems are available from Springer Publishing Companyís website with instructions in SPSS, STATA, and SAS formats. At the end of each chapter is a ìLiterature Applicationî text box with interpretation questions about a recent research article that highlights the statistical model discussed in the chapter. Throughout the book, text boxes highlight the most important algebraic formulas useful in interpreting statistical methods. A chapter on data management practices and ethical issues of privacy maintenance is included. Nine appendices provide tables of major probability distributions, for example, normal, t- and F-distributions, and algebraic derivations of some of the most important results in statistics.
Author: Michael J. Campbell
Publisher: John Wiley & Sons
Release Date: 2010-10-26
Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET "Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin's book." BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH "Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER
Author: Adrian Cook
Publisher: Class Publishing Ltd
Release Date: 2004
Genre: Electronic books
Statistics can be an intimidating subject for many students and clinicians. This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical care.
Author: Douglas G. Altman
Publisher: CRC Press
Release Date: 1990-11-22
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
Author: Yosef D. Dlugacz
Publisher: John Wiley & Sons
Release Date: 2017-01-04
Introduction to Health Care Quality explores the issues of quality management in today's health care environment, and provides clear guidance on new and perennial challenges in the field. The idea of 'quality' is examined in the context of a variety of health care situations, with practical emphasis on assessment, monitoring, analysis, and improvement. Students will learn how to utilize statistical tools, patient data, and more to understand new models of reimbursement, including pay for performance and value-based purchasing. They will also learn how to learn how to incorporate technology into everyday practice. Each chapter centers on an essential concept, but builds upon previous chapters to reinforce the material and equip students with a deeper understanding of the modern health care industry. Real-world situations are highlighted to show the intersection of theory and application, while cutting-edge methodologies and models prepare students for today's data-driven health care environment. Health care quality is defined and assessed according to setting, with factors such as standards, laws, regulations, accreditation, and consumerism impacting measurement and analysis in tremendous ways. This book provides an overview of this complex field, with insightful discussion and expert practical guidance. Health care today is worlds away from any other point in history. As the field grows ever more complex, quality management becomes increasingly critical for ensuring optimal patient care. Introduction to Health Care Quality helps students and professionals make sense of the issues, and provide top-notch service in today's rapidly changing health care environment.