Handbook of Statistics in Clinical Oncology
eBook - PDF

Handbook of Statistics in Clinical Oncology

  1. 658 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook of Statistics in Clinical Oncology

About this book

Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials. Accessible to statisticians in clinical trials as well as oncologists interested in clinical trial methodology, the book presents up-to-date statistical approaches to the design and analysis of oncology clinical trials. New topics in this edition include trial designs for targeted agents, Bayesian trial design, and the inclusion of high-dimensional data and imaging techniques. This edition also contains numerous figures and examples to better explain concepts.

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Yes, you can access Handbook of Statistics in Clinical Oncology by John Crowley, Antje Hoering, John Crowley,Antje Hoering 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

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Editors
  5. Contributors
  6. Chapter 1: Choosing a Phase I Design
  7. Chapter 2: Dose-Finding Designs Based on the Continual Reassessment Method
  8. Chapter 3: Pharmacokinetics in Clinical Oncology : Statistical Issues
  9. Chapter 4: Statistics of Phase 0 Trials
  10. Chapter 5: CRM Trials for Assessing Toxicity and Efficacy
  11. Chapter 6: Seamless Phase I/II Trial Design for Assessing Toxicity and Efficacy for Targeted Agents
  12. Chapter 7: Overview of Phase II Clinical Trials
  13. Chapter 8: Designs Based on Toxicity and Response
  14. Chapter 9: Designs Using Time-to-Event Endpoints/Single-Arm versus Randomized Phase II Designs
  15. Chapter 10: Phase II Selection Designs
  16. Chapter 11: Phase II with Multiple Subgroups : Designs Incorporating Disease Subtype or Genetic Heterogeneity
  17. Chapter 12: Phase II/III Designs
  18. Chapter 13: Use of Covariates in Randomization and Analysis of Clinical Trials
  19. Chapter 14: Factorial Designs with Time-to-Event Endpoints
  20. Chapter 15: Early Stopping of Clinical Trials
  21. Chapter 16: Noninferiority Trials
  22. Chapter 17: Phase III Trials for Targeted Agents
  23. Chapter 18: Adaptive Trial Designs
  24. Chapter 19: Design of a Clinical Trial for Testing the Ability of a Continuous Marker to Predict Therapy Benefit
  25. Chapter 20: Software for Design and Analysis of Clinical Trials
  26. Chapter 21: Cure-Rate Survival Models in Clinical Trials
  27. Chapter 22: Design and Analysis of Quality-of-Life Data
  28. Chapter 23: Economic Analyses alongside Cancer Clinical Trials
  29. Chapter 24: Structural and Molecular Imaging in Cancer Therapy Clinical Trials
  30. Chapter 25: Prognostic Factor Studies
  31. Chapter 26: Predictive Modeling of Gene Expression Data
  32. Chapter 27: Explained Variation and Explained Randomness for Proportional Hazards Models
  33. Chapter 28: Prognostic Groups by Tree-Based Partitioning and Data Refinement Methods
  34. Chapter 29: Risk Calculators
  35. Chapter 30: Developing a Score Based upon Gene Expression Profiling and Validation
  36. Chapter 31: Analysis of DNA Microarrays
  37. Chapter 32: Methods for SNP Regression Analysis in Clinical Studies : Selection, Shrinkage, and Logic
  38. Chapter 33: Forensic Bioinformatics
  39. Insert
  40. Back Cover