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Statistics in Medicine

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ISBN-10: 0123848644

ISBN-13: 9780123848642

Edition: 3rd 2012

Authors: Robert H. Riffenburgh

List price: $74.95
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Description:

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.Statistics in Medicine, Third Edition offers a unique combination of reference information for practitioners and researchers, along with core statistical methods for medical and health care students. It makes medical statistics easy for the non-biostatistician by outlining the common statistical methods used in 90% of medical research and clearly explaining the underlying basics. The book does not require a significant level of statistical knowledge, and provides abundant clinical…    
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Book details

List price: $74.95
Edition: 3rd
Copyright year: 2012
Publisher: Elsevier Science & Technology
Publication date: 8/13/2012
Binding: Hardcover
Pages: 738
Size: 7.50" wide x 9.21" long x 1.50" tall
Weight: 3.696
Language: English

Robert H. Riffenburgh, Ph.D. provides advice on experimental design, statistical analysis, and scientific integrity on the approximately 140 new studies beginning each year at the Naval Medical Center San Diego. He is former professor and Head, Dept. of Statistics, Univ. of Connecticut, and has been faculty at Va Tech., Univ. Hawaii, Univ. Maryland, Univ. California San Diego, San Diego State Univ., and in Leidin (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. Government and NATO. He has consulted periodically on medical statistics throughout his career and full-time for the last eight years. He has received…    

Databases
Foreword 3rd Edition
Foreword 2nd Edition
Foreword First Edition
Acknowledgments
How to Use this Book
Planning Studies: From Design to Publication
Planning Analysis: What Do I Do with my Data?
Probability and Relative Frequency Distributions
Distributions
Descriptive Statistics
Finding Probabilities of Error
Confidence Intervals
Hypothesis Testing: Concept and Practice
Tests on Categorical Data
Risks, Odds, and ROC Curves
Tests on Ranked Data
Tests on Means of Continuous Data
Multi-Factor ANOVA and ANCOVA
Tests on Variability and Distributions
Managing Results of Analysis
Equivalence Testing
Bayesian Statistics
Sample Size Estimation and Meta-Analysis
Modeling Concepts and Methods
Clinical Decisions Based on Models
Regression and Correlation
Multiple and Curvilinear Regression
Survival, Logistic Regression, and Cox Regression
Sequential Analysis and Time Series
Epidemiology
Measuring Association and Agreement
Questionnaires and Surveys
Methods You Might Meet, But Not Every Day
References and Data Sources
Tables of Probability Distributions