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Statistics in medicine /

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 w...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Riffenburgh, R. H. (Robert H.)
Format: Électronique eBook
Langue:Inglés
Publié: Burlington, MA : Elsevier Academic Press, �2006.
Édition:2nd ed.
Sujets:
Accès en ligne:Texto completo
Table des matières:
  • 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.