Exposure-Response Modeling

Book description

Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacody

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