Statistics applied to clinical trials /

Saved in:
Bibliographic Details
Author / Creator:Cleophas, Ton J. M.
Edition:3rd ed.
Imprint:Dordrecht, the Netherlands : Springer, c2006.
Description:xiv, 366 p. : ill. ; 25 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5922274
Hidden Bibliographic Details
Other authors / contributors:Zwinderman, Aeilko H.
Cleophas, Toine F.
ISBN:9781402042294 (hb : alk paper)
1402042299 (hb : alk. paper)
Notes:Includes bibliographical references.
Table of Contents:
  • Ch. 1. Hypotheses, data, stratification
  • Ch. 2. The analysis of efficacy data of drug trials
  • Ch. 3. The analysis of safety data of drug trials
  • Ch. 4. Equivalence testing
  • Ch. 5. Statistical power and sample size
  • Ch. 6. Interim analyses
  • Ch. 7. Multiple statistical inferences
  • Ch. 8. Controlling the risk of false positive clinical trials
  • Ch. 9. The interpretation of the p-values
  • Ch. 10. Research data closer to expectation than compatible with random sampling
  • Ch. 11. Principles of linear regression
  • Ch. 12. Subgroup analysis using multiple linear regression : confounding, interaction, synergism
  • Ch. 13. Curvilinear regression
  • Ch. 14. Logistic and cox regression, problems with regression modeling, Markow models
  • Ch. 15. Regression modeling for improved precision
  • Ch. 16. Post-HOC analysis in clinical trials, a case for logistic regression analysis
  • Ch. 17. Interaction effects in clinical trials
  • Ch. 18. Meta-analysis
  • Ch. 19. Crossover studies with continuous variables : power analysis
  • Ch. 20. Crossover studies with binary responses
  • Ch. 21. Cross-over trials should not be used to test treatments with different chemical class
  • Ch. 22. Quality-of-life assessments in clinical trials
  • Ch. 23. Statistical analysis of genetic data
  • Ch. 24. Relationship among statistical distributions
  • Ch. 25. Testing clinical trials for randomness
  • Ch. 26. Clinical data where variability is more important than averages
  • Ch. 27. Testing reproducibility
  • Ch. 28. Accuracy of diagnostic tests
  • Ch. 29. Advanced analysis of variance
  • Ch. 30. Statistics is no "bloodless" algebra
  • Ch. 31. Bias due to conflicts of interests, some guidelines.