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eBook - PDF
Exposure-Response Modeling
Methods and Practical Implementation
Jixian Wang
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- 351 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Exposure-Response Modeling
Methods and Practical Implementation
Jixian Wang
Book details
Table of contents
Citations
About This Book
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
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Information
Table of contents
- Cover
- Contents
- Symbol Description
- Preface
- Chapter 1: Introduction
- Chapter 2: Basic exposure and exposure–response models
- Chapter 3: Dose–exposure and exposure–response models for longitudinal data
- Chapter 4: Sequential and simultaneous exposure–response modeling
- Chapter 5: Exposure–risk modeling for time-to-event data
- Chapter 6: Modeling dynamic exposure–response relationships
- Chapter 7: Bayesian modeling and model–based decision analysis
- Chapter 8: Confounding bias and causal inference inexposure–response modeling
- Chapter 9: Dose–response relationship, dose determination, and adjustment
- Chapter 10: Implementation using software
- A: Appendix
- Bibliography
- Back Cover