Exposure-response modeling : methods and practical implementation / Jixian Wang.
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 mod...
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Full Text (via Taylor & Francis) |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
[2015]
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| Series: | Chapman & Hall/CRC biostatistics series.
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| Subjects: |
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 adjustmentChapter 10: Implementation using software; A: Appendix; Bibliography; Back Cover.