Abstract

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 appealing to readers with little or no statistical background, across medical and biomedical disciplines
• 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
• Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research

• 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
• 35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642
• Medical subject index offers additional search capabilities

Praise for the Third Edition:

"I teach MPH, Preventive Medicine residents, Clinical Science and Population Health Science students. I currently use Statistics in Medicine, 2^nd 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."

"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."

PRAISE FOR THE SECOND EDITION:

"...one of the few books that presents hard to understand statistical concepts applied to real-world medical data in a relatively simple manner." - 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 "[A] useful text/reference book, which I commend to all who teach statistics...and to all who are engaged in...health-related research." - W. M. (Mike) O'Fallon, Mayo Clinic, from the Foreword of the Second Edition PRAISE FOR THE FIRST EDITION: "This user-friendly text is laid out in a practical fashion that includes numerous examples...complete enough for even the hard core bioresearcher." - Richard A. Hill, University of California-Irvine "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