Adaptive Design Theory and Implementation Using SAS and R
eBook - PDF

Adaptive Design Theory and Implementation Using SAS and R

  1. 706 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Adaptive Design Theory and Implementation Using SAS and R

About this book

Get Up to Speed on Many Types of Adaptive DesignsSince the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the

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Yes, you can access Adaptive Design Theory and Implementation Using SAS and R by Mark Chang 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
9781482256604
Edition
2
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Dedication
  3. Series Introduction
  4. Preface to the Second Edition
  5. Preface to the First Edition
  6. Contents
  7. List of Figures
  8. List of Tables
  9. List of Examples
  10. List of SAS Macros and R Functions
  11. Chapter 1 - Introduction
  12. Chapter 2 - Classical Design
  13. Chapter 3 - Theory of Hypothesis-Based Adaptive Design
  14. Chapter 4 - Method with Direct Combination of p-values
  15. Chapter 5 - Method with Inverse-Normal p-values
  16. Chapter 6 - Adaptive Noninferiority Design with Paired Binary Data
  17. Chapter 7 - Adaptive Design with Incomplete Paired Data
  18. Chapter 8 - K-Stage Adaptive Designs
  19. Chapter 9 - Conditional Error Function Method and Conditional Power
  20. Chapter 10 - Recursive Adaptive Design
  21. Chapter 11 - Unblinded Sample-Size Reestimation Design
  22. Chapter 12 - Blinded and Semi-Blinded Sample-Size Reestimation Design
  23. Chapter 13 - Adaptive Design with Coprimary Endpoints
  24. Chapter 14 - Multiple-Endpoint Adaptive Design
  25. Chapter 15 - Pick-the-Winners Design
  26. Chapter 16 - The Add-Arm Design for Unimodal Response
  27. Chapter 17 - Biomarker-Enrichment Design
  28. Chapter 18 - Biomarker-Informed Adaptive Design
  29. Chapter 19 - Survival Modeling and Adaptive Treatment Switching
  30. Chapter 20 - Response-Adaptive Allocation Design
  31. Chapter 21 - Introductory Bayesian Approach in Clinical Trial
  32. Chapter 22 - Adaptive Dose-Escalation Trial
  33. Chapter 23 - Bayesian Design for Efficacy–Toxicity Trade-O and Drug Combination
  34. Chapter 24 - Bayesian Approach to Biosimilarity Trial
  35. Chapter 25 - Adaptive Multiregional Trial Design
  36. Chapter 26 - SAS and R Modules for Group Sequential Design
  37. Chapter 27 - Data Analysis of Adaptive Trial
  38. Chapter 28 - Planning, Execution, Analysis, and Reporting
  39. Chapter 29 - Debates in Adaptive Designs
  40. Appendix A - Random Number Generation
  41. Appendix B - A Useful Utility
  42. Appendix C - SAS Macros for Add-Arm Designs
  43. Appendix D - Implementing Adaptive Designs in R
  44. Bibliography
  45. Back Cover