Statistics in Medicine

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  • Praise for the Third Edition:
    ''I teach MPH, Preventive Medicine residents, Clinical Science and Population Health Science students. I currently use Statistics in Medicine, 2nd Ed…and now am quite fond of it. Its strength is a pedagogical trick of covering the material first at a high level (30,000 ft) and then in detail….My students like the text.''--Daniel Freeman, PhD, Professor, University of Texas Medical Branch, Galveston TX.
    ''It is very difficult to avoid much of the basic mathematics without losing some of the important concepts and foundation to the subject. Many authors that try, fail miserably. Riffenburgh [has] carefully crafted a text that succeeds in this goal. I consider Riffenburgh's book to be a great choice especially for a two quarter or two semester course.''--Michael Chernick, PhD,Director of Biostatistical Services, Lankenau Institute for Medical Research, Arlington VA.
    ''About 90% of statistical analysis uses about 30% of the statistical methods, says Riffenburgh (Naval Medical Center San Diego, California), and those are the methods he devotes his attention to. In a textbook for a first course in statistics for future clinicians (not future mathematicians) he explains the procedures step-by-step with many clinical examples. Among the methods are confidence intervals, hypothesis testing, categorical data, and epidemiological method. He also discusses managing results of analysis, questionnaires and surveys, survival analysis, and logistic regression. The 15 databases he uses are available online. Earlier editions were published in 1999 and 2006. Academic Press is an imprint of Elsevier.''--Reference and Research Book News, October 2012

    PRAISE FOR THE SECOND EDITION:

    ''...the author presents statistical concepts in fairly simple language and in a format that will make it especially appealing to a clinician...All clinicians will find this book useful, whether they are students, residents, or practitioners...particularly helpful to clinicians who do not have the time or interest in getting comprehensive training in biostatistics, yet need to understand and use these concepts in their professional careers...particularly useful are the illustrations and examples, exercises along with their answers, appendixes, and use of real data. Formulas are explained clearly, in a step-by-step fashion...This is one of the few books that presents hard to understand statistical concepts applied to real-world medical data in a relatively simple manner. The second edition expands on the first and includes more advanced topics as well as current concepts.''--DOODY Enterprises, Inc.
    ''This book is excellent value for the clinician who wants to evaluate the research (s)he reads and for those who carry out research.''--Margaret Moss, UK, for JOURNAL OF NUTRITIONAL & ENVIRONMENTAL MEDICINE

    FROM THE FOREWORD OF THE SECOND EDITION:
    ''I congratulate Dr. Riffenburgh on his career as a medical statistician and for this useful text/reference book, which I commend to all who teach statistics to students in the health-related fields and to all who are engaged in or are consumers of health-related research.''--W.M.(Mike) O'Fallon, Professor Emeritus and former Head of Biostatistics and Chair of the Dept. of Health Science Research, Mayo Clinic

    PRAISE FOR THE FIRST EDITION:
    ''This user-friendly text is laid out in a practical fashion that includes numerous examples for applying complex tests. This book is complete enough for even the hard core bioresearcher.''--Richard A. Hill, University of California-Irvine
    ''Statistics can be overwhelming for the health professional and Dr. Riffenburgh gives them the tools to make preparing proposals using statistical applications easy. I wholeheartedly recommend this book to any professional, novice or seasoned, involved in the research process.''--Capt. Peggy McNulty, U.S. Naval Health Clinic, Hawaii


Publisher: Academic Press
Year: 2012

Language: English
Pages: 710
Tags: Медицинские дисциплины;Социальная медицина и медико-биологическая статистика;

Content:
Front-matter, Pages i-iii
Copyright, Page iv
Dedication, Page v
Dedication, Page vii
Foreword to the Third Edition, Pages xvii-xviii, P. A. (Tony) Lachenbruch
Foreword to the Second Edition, Pages xix-xx, W.M. (Mike) O’Fallon
Foreword to the First Edition, Pages xxi-xxii, Richard A. Nelson
Acknowledgments, Page xxiii
Databases, Pages xxv-xliv
How to Use This Book, Pages xlv-xlviii
Chapter 1 - Planning Studies: From Design to Publication, Pages 1-26, R.H. Riffenburgh
Chapter 2 - Planning Analysis: What Do I Do with My Data?, Pages 27-63, R.H. Riffenburgh
Chapter 3 - Probability and Relative Frequency, Pages 65-76, R.H. Riffenburgh
Chapter 4 - Distributions, Pages 77-94, R.H. Riffenburgh
Chapter 5 - Descriptive Statistics, Pages 95-116, R.H. Riffenburgh
Chapter 6 - Finding Probabilities, Pages 117-136, R.H. Riffenburgh
Chapter 7 - Confidence Intervals, Pages 137-155, R.H. Riffenburgh
Chapter 8 - Hypothesis Testing: Concept and Practice, Pages 157-174, R.H. Riffenburgh
Chapter 9 - Tests on Categorical Data, Pages 175-202, R.H. Riffenburgh
Chapter 10 - Risks, Odds, and ROC Curves, Pages 203-219, R.H. Riffenburgh
Chapter 11 - Tests on Ranked Data, Pages 221-248, R.H. Riffenburgh
Chapter 12 - Tests on Means of Continuous Data, Pages 249-274, R.H. Riffenburgh
Chapter 13 - Multi-Factor ANOVA and ANCOVA, Pages 275-297, R.H. Riffenburgh
Chapter 14 - Tests on Variability and Distributions, Pages 299-323, R.H. Riffenburgh
Chapter 15 - Managing Results of Analysis, Pages 325-343, R.H. Riffenburgh
Chapter 16 - Equivalence Testing, Pages 345-353, R.H. Riffenburgh
Chapter 17 - Bayesian Statistics, Pages 355-364, R.H. Riffenburgh
Chapter 18 - Sample Size Estimation and Meta-Analysis, Pages 365-391, R.H. Riffenburgh
Chapter 19 - Modeling Concepts and Methods, Pages 393-414, R.H. Riffenburgh
Chapter 20 - Clinical Decisions Based on Models, Pages 415-441, R.H. Riffenburgh
Chapter 21 - Regression and Correlation, Pages 443-472, R.H. Riffenburgh
Chapter 22 - Multiple and Curvilinear Regression, Pages 473-489, R.H. Riffenburgh
Chapter 23 - Survival, Logistic Regression, and Cox Regression, Pages 491-508, R.H. Riffenburgh
Chapter 24 - Sequential Analysis and Time Series, Pages 509-533, R.H. Riffenburgh
Chapter 25 - Epidemiology, Pages 535-549, R.H. Riffenburgh
Chapter 26 - Measuring Association and Agreement, Pages 551-569, R.H. Riffenburgh
Chapter 27 - Questionnaires and Surveys, Pages 571-579, R.H. Riffenburgh
Chapter 28 - Methods You Might Meet, But Not Every Day, Pages 581-591, R.H. Riffenburgh
Answers to Chapter Exercises, Pages 593-638
Tables of Probability Distributions, Pages 639-656
References and Data Sources, Pages 657-663
Symbol Index, Pages 665-668
Statistical Subject Index, Pages 669-683
Medical Subject Index, Pages 685-690