Statistics in Medicine / Edition 4

by Robert H. Riffenburgh, Daniel L. Gillen

Overview

Statistics in Medicine, Fourth Edition guides medical and biomedical investigators in designing a study to answer carefully posed questions with appropriately chosen measures, in analyzing and interpreting the data arising from that design, and in predicting the sample size required to achieve a useful result. It makes medical statistics easy for the non-biostatistician by outlining the common statistical methods used in 90% of medical research and clearly explaining the underlying basics.

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.

This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conduct research or quality improvement projects.

• Expands and revises important topics, such as basic concepts behind descriptive statistics and testing, descriptive statistics in three dimensions, the relationship between statistical testing and confidence intervals, sequential analysis stopping rules, and meta-analysis
• Presents an easy-to-follow format incorporating medical examples, step-by-step methods, and check-yourself exercises
• Explains statistics for users with little statistical and mathematical background, applying to and using examples from various medical disciplines
• Encompasses two opening chapters summarizing research development steps from conceiving a study through planning it in detail, carrying out the methods, putting obtained data in analyzable form, analyzing and interpreting the results, and publishing the study

Product Details

ISBN-13:	9780128153284
Publisher:	Elsevier Science
Publication date:	07/31/2020
Edition description:	4th ed.
Pages:	822
Product dimensions:	7.50(w) x 9.25(h) x (d)

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.

Daniel L. Gillen’s research focuses on the development of statistical methodology for censored survival data, group sequential methods for the design and analysis of clinical trials, and the analysis of longitudinal data. As a general rule, his methodologic research is motivated by applications stemming from a multitude of clinical disciplines. Some of his most recent academic distinctions: Fellow of the American Statistical Association (Elected 2016); Dean’s Award for Mid-career Research Excellence, UCI School of Information and Computer Science (2015); Dean’s Award for Service Excellence, UCI School of Information and Computer Science (2012); Excellence in Mentoring Award, UCI Institute for Clinical and Translational Sciences (2011); Donovan J. Thompson Award, Department of Biostatistics, University of Washington (2000); NIH Cancer-Epidemiology-Biostatistics Training Grant (1999 - 2003). He is Associate Editor, Case Studies and Applications, of Journal of The American Statistical Association (2009 - present), and was Associate Editor of Journal of Statistical Software (2012 - 2015).

Table of Contents

1. Planning Studies: From Design to Publication 2. Planning Analysis: Addressing Your Scientific Objective 3. Probability and Relative Frequency 4. Distributions 5. Descriptive Statistics 6. Finding Probabilities 7. Hypothesis Testing: Concept and Practice 8. Confidence Intervals 9. Tests on Categorical Data 10. Risks, Odds, and ROC Curves 11. Tests of Location with Continuous Outcomes 12. Equivalence Testing 13. Tests on Variability and Distributions 14. Measuring Association and Agreement 15. Linear Regression and Correlation 16. Multiple Linear and Curvilinear Regression 17. Logistic Regression for Binary Outcomes 18. Regression Models for Count Outcomes 19. Analysis of Censored Time-To-Event Data 20. Analysis of Repeated Continuous Measures of Time 21. Sample Size Estimation 22. Clinical Trials and Group Sequential Analyses 23. Epidemiology and Alternative Sampling Designs 24. Meta Analyses 25. Bayesian Statistics 26. Questionnaires and Surveys 27. Techniques to Aid Analysis 28. Methods You Might Meet, But Not Every Day

What People are Saying About This

From the Publisher

A unique combination of core statistical methods for health care students and reference information for practitioners and researchers

Editorial Reviews

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

"...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