Exposure-Response Modeling

Exposure-Response Modeling

by Jixian Wang
Released July 2015
Publisher(s): Chapman and Hall/CRC
ISBN: 9781466573215

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Book description

This book explores a wide range of topics in exposure-response modeling, from traditional PKPD modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods. The book emphasizes dose adjustment and treatment adaptation based on dynamic exposure-response models, illustrates how to apply causal inference to exposure-response modeling in pharmacometrics and epidemiology, and links exposure-response modeling to clinical decision making through model-based decision analysis.

Table of contents

  1. Cover (1/2)
  2. Cover (2/2)
  3. Contents (1/2)
  4. Contents (2/2)
  5. Symbol Description
  6. Preface
  7. Chapter 1: Introduction (1/4)
  8. Chapter 1: Introduction (2/4)
  9. Chapter 1: Introduction (3/4)
  10. Chapter 1: Introduction (4/4)
  11. Chapter 2: Basic exposure and exposure–response models (1/4)
  12. Chapter 2: Basic exposure and exposure–response models (2/4)
  13. Chapter 2: Basic exposure and exposure–response models (3/4)
  14. Chapter 2: Basic exposure and exposure–response models (4/4)
  15. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (1/6)
  16. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (2/6)
  17. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (3/6)
  18. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (4/6)
  19. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (5/6)
  20. Chapter 3: Dose–exposure and exposure–response models for longitudinal data (6/6)
  21. Chapter 4: Sequential and simultaneous exposure–response modeling (1/8)
  22. Chapter 4: Sequential and simultaneous exposure–response modeling (2/8)
  23. Chapter 4: Sequential and simultaneous exposure–response modeling (3/8)
  24. Chapter 4: Sequential and simultaneous exposure–response modeling (4/8)
  25. Chapter 4: Sequential and simultaneous exposure–response modeling (5/8)
  26. Chapter 4: Sequential and simultaneous exposure–response modeling (6/8)
  27. Chapter 4: Sequential and simultaneous exposure–response modeling (7/8)
  28. Chapter 4: Sequential and simultaneous exposure–response modeling (8/8)
  29. Chapter 5: Exposure–risk modeling for time-to-event data (1/11)
  30. Chapter 5: Exposure–risk modeling for time-to-event data (2/11)
  31. Chapter 5: Exposure–risk modeling for time-to-event data (3/11)
  32. Chapter 5: Exposure–risk modeling for time-to-event data (4/11)
  33. Chapter 5: Exposure–risk modeling for time-to-event data (5/11)
  34. Chapter 5: Exposure–risk modeling for time-to-event data (6/11)
  35. Chapter 5: Exposure–risk modeling for time-to-event data (7/11)
  36. Chapter 5: Exposure–risk modeling for time-to-event data (8/11)
  37. Chapter 5: Exposure–risk modeling for time-to-event data (9/11)
  38. Chapter 5: Exposure–risk modeling for time-to-event data (10/11)
  39. Chapter 5: Exposure–risk modeling for time-to-event data (11/11)
  40. Chapter 6: Modeling dynamic exposure–response relationships (1/5)
  41. Chapter 6: Modeling dynamic exposure–response relationships (2/5)
  42. Chapter 6: Modeling dynamic exposure–response relationships (3/5)
  43. Chapter 6: Modeling dynamic exposure–response relationships (4/5)
  44. Chapter 6: Modeling dynamic exposure–response relationships (5/5)
  45. Chapter 7: Bayesian modeling and model–based decision analysis (1/8)
  46. Chapter 7: Bayesian modeling and model–based decision analysis (2/8)
  47. Chapter 7: Bayesian modeling and model–based decision analysis (3/8)
  48. Chapter 7: Bayesian modeling and model–based decision analysis (4/8)
  49. Chapter 7: Bayesian modeling and model–based decision analysis (5/8)
  50. Chapter 7: Bayesian modeling and model–based decision analysis (6/8)
  51. Chapter 7: Bayesian modeling and model–based decision analysis (7/8)
  52. Chapter 7: Bayesian modeling and model–based decision analysis (8/8)
  53. Chapter 8: Confounding bias and causal inference inexposure–response modeling (1/6)
  54. Chapter 8: Confounding bias and causal inference inexposure–response modeling (2/6)
  55. Chapter 8: Confounding bias and causal inference inexposure–response modeling (3/6)
  56. Chapter 8: Confounding bias and causal inference inexposure–response modeling (4/6)
  57. Chapter 8: Confounding bias and causal inference inexposure–response modeling (5/6)
  58. Chapter 8: Confounding bias and causal inference inexposure–response modeling (6/6)
  59. Chapter 9: Dose–response relationship, dose determination, and adjustment (1/9)
  60. Chapter 9: Dose–response relationship, dose determination, and adjustment (2/9)
  61. Chapter 9: Dose–response relationship, dose determination, and adjustment (3/9)
  62. Chapter 9: Dose–response relationship, dose determination, and adjustment (4/9)
  63. Chapter 9: Dose–response relationship, dose determination, and adjustment (5/9)
  64. Chapter 9: Dose–response relationship, dose determination, and adjustment (6/9)
  65. Chapter 9: Dose–response relationship, dose determination, and adjustment (7/9)
  66. Chapter 9: Dose–response relationship, dose determination, and adjustment (8/9)
  67. Chapter 9: Dose–response relationship, dose determination, and adjustment (9/9)
  68. Chapter 10: Implementation using software (1/2)
  69. Chapter 10: Implementation using software (2/2)
  70. A: Appendix (1/3)
  71. A: Appendix (2/3)
  72. A: Appendix (3/3)
  73. Bibliography (1/3)
  74. Bibliography (2/3)
  75. Bibliography (3/3)
  76. Back Cover

Product information

  • Title: Exposure-Response Modeling
  • Author(s): Jixian Wang
  • Release date: July 2015
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781466573215