Statistics in MedicineBy
- Robert Riffenburgh
- Robert Riffenburgh
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.
Published: August 2005
Imprint: Academic Press
"...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 MEDICINE 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
- 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