Cancer clinical trials : methods and practice /

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Bibliographic Details
Imprint:Oxford ; New York : Oxford University Press, 1984.
Description:xiv, 481 p. : ill. ; 24 cm.
Language:English
Series:Oxford medical publications
Subject:Cancer -- Treatment -- Evaluation.
Neoplasms -- drug therapy
Antineoplastic Agents -- therapeutic use
Clinical Trials -- methods
Cancer -- Treatment -- Evaluation.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/566930
Hidden Bibliographic Details
Other authors / contributors:Buyse, Marc E.
Staquet, Maurice,
Sylvester, Richard J.
ISBN:019261357X : $59.00
Notes:Includes bibliographies and index.
Table of Contents:
  • Part I. General Issues
  • 1. Cancer Trials: Pseudoscience or Situation Science?
  • 2. Ethical Considerations in Controlled Clinical Trials
  • 3. Evaluating 'Quality of Life' in Cancer Clinical Trials
  • Part II. Planning and Conduct
  • 4. Planning Cancer Clinical Trials
  • 5. Design of Forms
  • 6. Computerization
  • 7. Quality Control in Multi-Centre Trials
  • 8. Problems Related to Protocol Non-Adherence
  • Part III. Reporting
  • 9. Reporting Treatment Results in Solid Tumours
  • 10. Reporting Treatment Results in Non-Solid Tumours
  • 11. Reporting Treatment Toxicities
  • Part IV. Drug and Dose Selection
  • 12. Experimental Bases for Drug Selection
  • 13. Design and Conduct of Phase I Trials
  • Part V. Phase II Trials
  • 14. Clinical Aspects in the Design and Conduct of Phase II Trials
  • 15. Statistical Aspects in the Design and Analysis of Phase II Clinical Trails
  • Part VI. Design of Phase III Trials
  • 16. Designs for Phase III Trials
  • 17. Randomization and Stratification in Cancer Clinical Trials
  • 18. The Required Size and Length of a Phase III Clinical Trial
  • 19. Alternative Designs
  • Part VIII. Analysis of Phase III Trials
  • 20. Estimation and Comparison Proportions
  • 21. The Calculation and Interpretation of Survival Curves
  • 22. Comparison of Survival Curves
  • 23. Interim Analysis and Stopping Rules
  • 24. Identification of Prognostic Factors
  • 25. Use of Regression Models