Statistics in Medicine

Robert H Riffenburgh

ISBN 10: 0120887703 / ISBN 13: 9780120887705

Published by Elsevier Science Publishing Co Inc, 2005

About this Item

Presents the common statistical methods used in 90 per cent of medical research, along with the underlying basics. This book incorporates medical examples, step-by-step methods, and check yourself exercises. It includes chapter summaries which provide a review of formulas, method algorithms, and check lists.

Seller Inventory # CIN0120887703G

Bibliographic Details

• Title: Statistics in Medicine
• Publisher: Elsevier Science Publishing Co Inc
• Publication Date: 2005
• Language: English
• ISBN 10: 0120887703
• ISBN 13: 9780120887705
• Binding: Hardback
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.

• Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises
• Two-part design features course material and a professional reference section
• Chapter summaries provide a review of formulas, method algorithms, and check lists
• Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods

New in this Edition:

• New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods
• New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions
• Updated database coverage and additional exercises
• Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression
• Thorough discussion on required sample size

About the Author

Robert H. Riffenburgh, PhD, PStat, Fellow American Statistical Association, Fellow Royal Statistical Society, retired in 2021 at age 90 as Professor Emeritus at San Diego State University. He has also been a company CEO, government scientist, oceanometrician, Navy undersea diver, NATO officer in Europe, and medical research planner/analyst. He published 165 scientific articles and edited two journal series. Since retiring, he has published two novels, penned 50 short stories, and won the Odin Writers Award.