Clinical Trial Biostatistics and Biopharmaceutical Applications
eBook - PDF

Clinical Trial Biostatistics and Biopharmaceutical Applications

  1. 580 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Clinical Trial Biostatistics and Biopharmaceutical Applications

About this book

Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications

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Yes, you can access Clinical Trial Biostatistics and Biopharmaceutical Applications by Walter R. Young, Ding-Geng (Din) Chen in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2014
eBook ISBN
9781482212198
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Contents
  3. List of Figures
  4. List of Tables
  5. Preface
  6. Early History of the DemingConference
  7. Some Nonstatistical Reminiscences of My 44 Years of Chairing the Deming Conference
  8. Contributors
  9. Section I: Emerging Issues in ClinicalTrial Design and Analysis
  10. Chapter 1: Emerging Challenges of Clinical Trial Methodologies in Regulatory Applications
  11. Chapter 2: Review of Randomization Methodsin Clinical Trials
  12. Chapter 3: First Dose Ranging Clinical Trial Design:More Doses? Or aWider Range?
  13. Chapter 4: Thorough QT/QTc Clinical Trials
  14. Chapter 5: Controversial (Unresolved) Issues in Noninferiority Trials
  15. Section II: Adaptive Clinical Trials
  16. Chapter 6: Adaptive Designs in Drug Development
  17. Chapter 7: Optimizing Group-Sequential Designs with Focus on Adaptability: Implications of Nonproportional Hazards in Clinical Trials
  18. Chapter 8: Group Sequential Design in R
  19. Section III: Clinical Trials in Oncology
  20. Chapter 9: Issues in the Design and Analysis of Oncology Clinical Trials
  21. Chapter 10: Competing Risks and Their Applications in Cancer Clinical Trials
  22. Chapter 11: Dose Finding with Escalation with Overdose Control in Cancer Clinical Trials
  23. Chapter 12: Interval-Censored Time-to-Event Data andT heir Applications in Clinical Trials
  24. Section IV: Multiple Comparisons in Clinical Trials
  25. Chapter 13: Introduction to Multiple Test Problems, with Applications to Adaptive Designs
  26. Chapter 14: Graphical Approaches to Multiple Testing
  27. Chapter 15: Pairwise Comparisons with Binary Responses: Multiplicity-Adjusted P-Values and Simultaneous Confidence Intervals
  28. Chapter 16: Comparative Study of Five Weighted Parametric Multiple Testing Methods for Correlated Multiple Endpoints in Clinical Trials
  29. Section V: Clinical Trials in a Genomic Era
  30. Chapter 17: Statistical Analysis of Biomarkers from -Omics Technologies
  31. Chapter 18: Understanding Therapeutic Pathways via Biomarkers and Other Uses of Biomarkers in Clinical Studies
  32. Chapter 19: Statistical Evaluation of Surrogate Endpoints in Clinical Studies
  33. Back Cover