Statistics in medicine [electronic resource] / Robert H. Riffenburgh.

By:

Riffenburgh, R. H. (Robert H.)

Contributor(s):

ScienceDirect (Online service)

Material type: Text

TextPublication details: Burlington, MA : Elsevier Academic Press, c2006.Edition: 2nd edDescription: xli, 622 p. : illISBN:

9780120887705
0120887703

Other title:

Statistics in medicine (Online)

Subject(s):

Additional physical formats: No titleDDC classification:

22 616 RIF-S 2006 500440

Contents:

Foreword to the Second Edition, W.M. (Mike) O'Fallon -- Foreword to the First Edition, Vice Adm. Richard A. Nelson -- 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.

Summary: 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.

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Holdings ( 1 )
Title notes ( 7 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference	University College of Medicine Library Book Cart	Not for loan and check out is restricted	616 RIF-S 2006 500440 (Browse shelf(Opens below))	Not For Loan (Restricted Access)		500440

Total holds: 0

Online description based on title information screen (viewed Apr. 14, 2008).

Digitized and made available by ScienceDirect.

Includes bibliographical references (p. 581-584) and indexes.

Online access available to Boston University faculty, staff and students.

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.

Mode of access: World Wide Web.