Methods and Applications of Statistics in Clinical Trials, Volume 2
eBook - ePub

Methods and Applications of Statistics in Clinical Trials, Volume 2

Planning, Analysis, and Inferential Methods

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Methods and Applications of Statistics in Clinical Trials, Volume 2

Planning, Analysis, and Inferential Methods

About this book

Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods includes updates of established literature from the Wiley Encyclopedia of Clinical Trials as well as original material based on the latest developments in clinical trials. Prepared by a leading expert, the second volume includes numerous contributions from current prominent experts in the field of medical research. In addition, the volume features:

• Multiple new articles exploring emerging topics, such as evaluation methods with threshold, empirical likelihood methods, nonparametric ROC analysis, over- and under-dispersed models, and multi-armed bandit problems

• Up-to-date research on the Cox proportional hazard model, frailty models, trial reports, intrarater reliability, conditional power, and the kappa index

• Key qualitative issues including cost-effectiveness analysis, publication bias, and regulatory issues, which are crucial to the planning and data management of clinical trials

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Yes, you can access Methods and Applications of Statistics in Clinical Trials, Volume 2 by Narayanaswamy Balakrishnan, N. Balakrishnan in PDF and/or ePUB format, as well as other popular books in Medicine & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2014
Print ISBN
9781118304761
eBook ISBN
9781118595961
Edition
1
Topic
Medicine
Subtopic
Biostatistics

Table of contents

  1. Cover
  2. Half Title page
  3. Title page
  4. Copyright page
  5. Contributors
  6. Preface
  7. Chapter 1: Analysis of Over- and Underdispersed Data
  8. Chapter 2: Analysis of Variance (ANOVA)
  9. Chapter 3: Assessment of Health-Related Quality of Life
  10. Chapter 4: Bandit Processes and Response-Adaptive Clinical Trials: The Art of Exploration Versus Exploitation
  11. Chapter 5: Bayesian Dose-Finding Designs in Healthy Volunteers
  12. Chapter 6: Bootstrap
  13. Chapter 7: Conditional Power in Clinical Trial Monitoring
  14. Chapter 8: Cost-Effectiveness Analysis
  15. Chapter 9: Cox-Type Proportional Hazards Models
  16. Chapter 10: Empirical Likelihood Methods in Clinical Experiments
  17. Chapter 11: Frailty Models
  18. Chapter 12: Futility Analysis
  19. Chapter 13: Imaging Science in Medicine I: Overview
  20. Chapter 14: Imaging Science in Medicine, II: Basics of X-Ray Imaging
  21. Chapter 15: Imaging Science in Medicine, III: Digital (21st Century) X-Ray Imaging
  22. Chapter 16: Intention-to-Treat Analysis
  23. Chapter 17: Interim Analyses
  24. Chapter 18: Interrater Reliability
  25. Chapter 19: Intrarater Reliability
  26. Chapter 20: Kaplan—Meier Plot
  27. Chapter 21: Logistic Regression
  28. Chapter 22: Metadata
  29. Chapter 23: Microarray
  30. Chapter 24: Multi-Armed Bandits, Gittins Index, and Its Calculation
  31. Chapter 25: Multiple Comparisons
  32. Chapter 26: Multiple Evaluators
  33. Chapter 27: Noncompartmental Analysis
  34. Chapter 28: Nonparametric ROC Analysis for Diagnostic Trials
  35. Chapter 29: Optimal Biological Dose for Molecularly Targeted Therapies
  36. Chapter 30: Over- and Underdispersion Models
  37. Chapter 31: Permutation Tests in Clinical Trials
  38. Chapter 32: Pharmacoepidemiology, Overview
  39. Chapter 33: Population Pharmacokinetic and Pharmacodynamic Methods
  40. Chapter 34: Proportions: Inferences and Comparisons
  41. Chapter 35: Publication Bias
  42. Chapter 36: Quality of Life
  43. Chapter 37: Relative Risk Modeling
  44. Chapter 38: Sample Size Considerations for Morbidity/Mortality Trials
  45. Chapter 39: Sample Size for Comparing Means
  46. Chapter 40: Sample Size for Comparing Proportions
  47. Chapter 41: Sample Size for Comparing Time-to-Event Data
  48. Chapter 42: Sample Size for Comparing Variabilities
  49. Chapter 43: Screening, Models of
  50. Chapter 44: Screening Trials
  51. Chapter 45: Secondary Efficacy End Points
  52. Chapter 46: Sensitivity, Specificity, and Receiver Operator Characteristic (ROC) Methods
  53. Chapter 47: Software for Genetics/Genomics
  54. Chapter 48: Stability Study Designs
  55. Chapter 49: Subgroup Analysis
  56. Chapter 50: Survival Analysis, Overview
  57. Chapter 51: The FDA and Regulatory Issues
  58. Chapter 52: The Kappa Index
  59. Chapter 53: Treatment Interruption
  60. Chapter 54: Trial Reports: Improving Reporting, Minimizing Bias, and Producing Better Evidence-Based Practice
  61. Chapter 55: U.S. Department of Veterans Affairs Cooperative Studies Program
  62. Chapter 56: Women’s Health Initiative: Statistical Aspects and Selected Early Results
  63. Chapter 57: World Health Organization (WHO): Global Health Situation
  64. Index