Statistics for the Health Sciences

A Non-Mathematical Introduction

Author: Christine Dancey,John Reidy,Richard Rowe

Publisher: SAGE

ISBN: 1446291235

Category: Social Science

Page: 584

View: 5483

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.

Statistics for the Health Sciences

A Non-Mathematical Introduction

Author: Christine Dancey,John Reidy,Richard Rowe

Publisher: SAGE

ISBN: 1446258734

Category: Social Science

Page: 584

View: 3264

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.

Statistics for the Health Sciences

A Non-Mathematical Introduction

Author: Christine Dancey,John Reidy,Richard Rowe

Publisher: SAGE Publications

ISBN: 1849203369

Category: Social Science

Page: 563

View: 1463

This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without complex statistical formulae. The book takes students from the basics of research design, hypothesis testing, and descriptive statistical techniques through to more advanced inferential statistical tests that health sciences students are likely to encounter. Exercises and tips throughout the book allow students to practice using SPSS.

Intuitive Biostatistics

Author: Harvey Motulsky

Publisher: Oxford University Press, USA

ISBN: 9780195086072

Category: Medical

Page: 386

View: 924

Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves. Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.

Medical Statistics

A Textbook for the Health Sciences

Author: Michael J. Campbell,David Machin,Stephen J. Walters

Publisher: John Wiley & Sons

ISBN: 9780470976630

Category: Medical

Page: 344

View: 805

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

How to Use SPSS®

A Step-By-Step Guide to Analysis and Interpretation

Author: Brian C. Cronk

Publisher: Routledge

ISBN: 1351390007

Category: Psychology

Page: 166

View: 6663

How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management

Basic Statistics for the Health Sciences

Author: Jan W. Kuzma,Stephen E. Bohnenblust

Publisher: McGraw-Hill Europe

ISBN: 9780071112482

Category: Medical statistics

Page: 458

View: 3716

This is the only introductory statistics text written specifically for health science students. Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course.

Making Sense of Statistics

A Non-Mathematical Approach

Author: Michael Wood

Publisher: Macmillan International Higher Education

ISBN: 1137201703

Category: Mathematics

Page: 224

View: 721

Making Sense of Statistics provides a thorough, but accessible, introduction to statistics and probability, without the distractions of mathematics. The book does not require you to use any algebraic formulae or equations, but it does explain how and why methods work, and exactly what answers mean. Guidance is provided on how to design investigations, analyze data and interpret results. There are exercises and case studies from a variety of areas of application, and an accompanying website from which interactive spreadsheet models and data files can be downloaded.

How To Write a Paper

Author: George M. Hall

Publisher: John Wiley & Sons

ISBN: 1118488733

Category: Medical

Page: 176

View: 1413

This concise paperback is one of the best known guides to writing a paper for publication in biomedical journals. Its straightforward format – a chapter covering each of part of the structured abstract – makes it relevant and easy to use for any novice paper writer. How to Write a Paper addresses the mechanics of submission, including electronic submission, and how publishers handle papers, writing letters to journals abstracts for scientific meetings, and assessing papers. This new edition also covers how to write a book review and updated chapters on ethics, electronic publication and submission, and the movement for open access.

Biostatistics for Clinical and Public Health Research

Author: Melody S. Goodman

Publisher: Routledge

ISBN: 1351651714

Category: Medical

Page: 558

View: 7045

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results. Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician. This book will be an invaluable tool for students and clinical and public health practitioners.

Practical Statistics for Medical Research

Author: Douglas G. Altman

Publisher: CRC Press

ISBN: 9780412276309

Category: Mathematics

Page: 624

View: 9887

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.

Essential Biostatistics

A Nonmathematical Approach

Author: Harvey Motulsky

Publisher: Oxford University Press

ISBN: 0199365067

Category: Biometry

Page: 208

View: 7077

With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook.

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

Author: Michael R. Chernick

Publisher: John Wiley & Sons

ISBN: 1118071948

Category: Medical

Page: 228

View: 6357

A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research. Subsequent chapters explore key topics, including: Correlation, regression, and logistic regression Diagnostics Estimating means and proportions Normal distribution and the central limit theorem Sampling from populations Contingency tables Meta-analysis Nonparametric methods Survival analysis Throughout the book, statistical methods that are often utilized in biomedical research are outlined, including repeated measures analysis of variance, hazard ratios, contingency tables, log rank tests, bioequivalence, cross-over designs, selection bias, and group sequential methods. Exercise sets at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques. The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.

Legal Essentials of Health Care Administration

Author: George Pozgar,Nina M. Santucci

Publisher: Jones & Bartlett Learning

ISBN: 0763761303

Category: Business & Economics

Page: 365

View: 5144

Legal Essentials in Health Care Administration is a distillation of the most important topics from the widely popular Legal Aspects of Health Care Administration by the same author. Using reader-friendly, jargon-free language, this text unravels the complexities of the legal system in health care and provides the reader with a strong foundation in health law. Readers will gain a solid understanding of what steps providers of care, legislative bodies, patients, patients' families, and patient advocates can take to help prevent the wide variety of harmful events that are involved in health care.

Chances Are

The Only Statistic Book You'll Ever Need

Author: Steve Slavin

Publisher: Madison Books

ISBN: 146162293X

Category: Mathematics

Page: 224

View: 6761

Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.

Data Analysis for the Life Sciences with R

Author: Rafael A. Irizarry,Michael I. Love

Publisher: CRC Press

ISBN: 1498775861

Category: Mathematics

Page: 376

View: 2244

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

AUDIOLOGY Treatment

Author: Michael Valente,Holly Hosford-Dunn,Ross J. Roeser

Publisher: Thieme

ISBN: 1588906507

Category: Medical

Page: 544

View: 1941

From the principles of hearing aid instrumentation, selection, and fitting, to the medical and surgical management of ear diseases and hearing disorders, to the rehabilitation of the patient with hearing loss, the new edition of Audiology: Treatment is an invaluable, up-to-date resource for the latest approaches to treating hearing disorders. Organized into two main sections, the book begins by guiding the reader through the principles of treatment and then presents important applications for the clinical setting. Features: Insights from respected experts in the field New chapters on the numerous advances in hearing aid technology and electroacoustic analysis of hearing aids; the importance of outcome measures in validating the performance of amplification; treatment options for patients with processing disorders; new signals for real ear measures; and the use of fully implantable devices Chapter outlines to rapidly acquaint reader with topics to be discussed Pearls, pitfalls, controversial points, and special considerations providing recommendations and comments on key aspects of patient care Audiology: Treatment is one part of a three-volume series, which is completed by Audiology: Diagnosis and Audiology: Practice Management. Together these books provide audiologists and students in graduate programs with a complete compendium of information on optimizing patient care.

Introductory Biostatistics

Author: Chap T. Le,Lynn E. Eberly

Publisher: John Wiley & Sons

ISBN: 111859598X

Category: Mathematics

Page: 616

View: 445

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.

Fundamentals of Biostatistics

Author: Bernard Rosner

Publisher: Cengage Learning

ISBN: 1133008178

Category: Science

Page: 888

View: 5982

Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

An Introduction to Medical Statistics

Author: Martin Bland

Publisher: OUP Oxford

ISBN: 0191002992

Category: Medical

Page: 464

View: 703

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.