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Statistics in Medicine
- 2nd Edition - August 4, 2005
- Author: Robert H. Riffenburgh
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 0 8 8 7 7 0 - 5
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 5 4 1 7 4 - 7
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… Read more
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Request a sales quoteMedicine 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
Medical and public health students, both at the graduate and undergraduate level; physicians and researchers.
Foreword to the Second Edition, W. M. (Mike) O'Fallon, Professor Emeritus and former Head of Div. of Biostatistics, Mayo ClinicForeword to the First Edition, Vice Adm. Richard A. Nelson, Surgeon General of the U.S. NavyDatabasesI. A Study Course of Fundamentals1. Data, Notation, and Some Basic Terms2. Distributions3. Summary Statistics4. Confidence Intervals and Probability5. Hypothesis Testing: Concept and Practice6. Statistical Testing, Risks, and Odds in Medical Decisions7. Sample Size Required for a Study8. Statistical Prediction9. Epidemiology10. Reading Medical ArticlesAnswers to Chapter Exercises, Part III. A Reference Guide11. Using the Reference Guide12. Planning Medical Studies13. Finding Probabilities of Error14. Confidence Intervals15. Tests on Categorical Data16. Tests on Ranked Data17. Tests on Means of Continuous Data18. Multifactor Tests on Means of Continuous Data19. Tests on Variances of Continuous Data20. Tests on the Distribution Shape of Continuous Data21. Equivalence Testing22. Sample Size Required for a Study23. Modeling and Clinical Decisions24. Regression and Correlation Methods25. Survival and Time-Series Analysis26. Methods You Might Meet, But Not Every DayChapter SummariesReferences and Data SourcesTables of Probability DistributionsSymbol IndexSubject Index
- No. of pages: 672
- Language: English
- Edition: 2
- Published: August 4, 2005
- Imprint: Academic Press
- Hardback ISBN: 9780120887705
- eBook ISBN: 9780080541747
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Robert H. Riffenburgh
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.
Affiliations and expertise
Naval Medical Center, San Diego, California, USARead Statistics in Medicine on ScienceDirect