Statistics in Medicine

by Robert H. Riffenburgh

Overview

Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

*User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises.

*Facilitates stand-alone methods rather than a required sequence of reading and references to prior text.

* Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology.

New in this Edition:

* New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys.

* New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression.

* Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis.

Product Details

ISBN-13:	9780123848659
Publisher:	Elsevier Science
Publication date:	08/13/2012
Sold by:	Barnes & Noble
Format:	eBook
Pages:	738
File size:	22 MB
Note:	This product may take a few minutes to download.

About the Author

Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 140 professional articles.

Table of Contents

Databases

Foreword 3rd Edition

Foreword 2nd Edition

Foreword First Edition

Acknowledgments

How to Use this Book

Section 1

1. Planning Studies: From Design to Publication

2. Planning Analysis: What Do I Do with my Data?

3. Probability and Relative Frequency Distributions

4. Distributions

5. Descriptive Statistics

6. Finding Probabilities of Error

7. Confidence Intervals

8. Hypothesis Testing: Concept and Practice

9. Tests on Categorical Data

10. Risks, Odds, and ROC Curves

11. Tests on Ranked Data

12. Tests on Means of Continuous Data

13. Multi-Factor ANOVA and ANCOVA

14. Tests on Variability and Distributions

15. Managing Results of Analysis

16. Equivalence Testing

17. Bayesian Statistics

18. Sample Size Estimation and Meta-Analysis

19. Modeling Concepts and Methods

20. Clinical Decisions Based on Models

21. Regression and Correlation

22. Multiple and Curvilinear Regression

23. Survival, Logistic Regression, and Cox Regression

24. Sequential Analysis and Time Series

25. Epidemiology

26. Measuring Association and Agreement

27. Questionnaires and Surveys

28. Methods You Might Meet, But Not Every Day

References and Data Sources

Tables of Probability Distributions

What People are Saying About This

From the Publisher

A comprehensive yet succinct resource for the non-biostatistician in the statistical design, development, and analysis of medical and biomedical studies

Editorial Reviews

"...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 MEDICINEFrom the Foreword:"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 ClinicPraise 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

From the Publisher

Reviewer: Dinesh Sharma, M.D., MPH (East Tennessee State University Quillen College of Medicine)
Description: This is a comprehensive book on statistics in the field of medicine authored by an expert in the field.
Purpose: It aims to help health professionals and students gain statistical acumen for conducting medical research as well as interpreting medical literature accurately.
Audience: The book is aimed at students and faculties studying and/or teaching statistics or public health, medical students, trainees in medical fields, and healthcare professionals. Even students and professionals in health-related fields without formal training in statistics will benefit from this book.
Features: Written in an easy-to-read format, this book presents multiple examples using the various statistical methods involving the databases provided by the author. It provides good resources for professionals interested in planning and designing research and, more importantly, it provides essential skills for understanding medical literature related to clinical practice. The book includes illustrations of planning studies and analysis. The author also describes medical ethics as part of the planning. Also included are pragmatic tips to avoid problems investigators commonly encounter. The book gradually introduces the concept of different statistical methods with appropriate examples at the end of the chapters.
Assessment: This is an excellent resource and reference for students, teachers, and medical professionals. It is also an excellent tool for medical investigators on how to plan and design medical research and how to interpret medical literature in this evidence-based medicine era.

Doody's Review Service