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推薦指數:
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- 內容介紹
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Statistics in Medicine
Second Edition
Dr. R. Riffenburgh
Naval Medical Center, San Diego, California, U.S.A.
ISBN: 0-12-088770-3 Book/Hardback
Line Illustrations: 348
Measurements: 7 X 10 in
Pages: 672
Imprint: Academic Press
Publication Date: 4 August 2005
Features & Benefits
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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
Reviews
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From 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 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
Description back to top
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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.
Contents back to top
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Foreword to the Second Edition, W. M. (Mike) O'Fallon, Professor Emeritus and former Head of Div. of Biostatistics, Mayo Clinic
Foreword to the First Edition, Vice Adm. Richard A. Nelson, Surgeon General of the U.S. Navy
Databases
I. A Study Course of Fundamentals
1. Data, Notation, and Some Basic Terms
2. Distributions
3. Summary Statistics
4. Confidence Intervals and Probability
5. Hypothesis Testing: Concept and Practice
6. Statistical Testing, Risks, and Odds in Medical Decisions
7. Sample Size Required for a Study
8. Statistical Prediction
9. Epidemiology
10. Reading Medical Articles
Answers to Chapter Exercises, Part I
II. A Reference Guide
11. Using the Reference Guide
12. Planning Medical Studies
13. Finding Probabilities of Error
14. Confidence Intervals
15. Tests on Categorical Data
16. Tests on Ranked Data
17. Tests on Means of Continuous Data
18. Multifactor Tests on Means of Continuous Data
19. Tests on Variances of Continuous Data
20. Tests on the Distribution Shape of Continuous Data
21. Equivalence Testing
22. Sample Size Required for a Study
23. Modeling and Clinical Decisions
24. Regression and Correlation Methods
25. Survival and Time-Series Analysis
26. Methods You Might Meet, But Not Every Day
Chapter Summaries
References and Data Sources
Tables of Probability Distributions
Symbol Index
Subject Index
Click here for a larger image
Readership: Medical and public health students, both at the graduate and undergraduate level; physicians and researchers.
ISBN: 0-12-088770-3 Book/Hardback
Line Illustrations: 348
Measurements: 7 X 10 in
Pages: 672
Imprint: Academic Press
Publication Date: 4 August 2005
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