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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| Online Access: |
Full Text (via Taylor & Francis) |
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| Main Author: | |
| 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: |
MARC
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| 245 | 1 | 0 | |a Exposure-response modeling : |b methods and practical implementation / |c Jixian Wang. |
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2015] | |
| 264 | 4 | |c ©2016. | |
| 300 | |a 1 online resource (xix, 331 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
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| 490 | 1 | |a Chapman & Hall/CRC biostatistics series. | |
| 500 | |a "A Chapman & Hall book." | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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. | |
| 505 | 8 | |a Chapter 9: Dose-response relationship, dose determination, and adjustmentChapter 10: Implementation using software; A: Appendix; Bibliography; Back Cover. | |
| 520 | |a 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-pharmacodynamic (PKPD) modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods. The book describes using measurement error models to treat sequential modeling, fitting models. | ||
| 588 | 0 | |a Online resource; title from PDF title page (CRCnetBASE, viewed July 30, 2015) | |
| 650 | 0 | |a Exposure therapy |x Statistical methods. | |
| 650 | 0 | |a Drug development |x Statistical methods. | |
| 650 | 0 | |a Biometry. |0 http://id.loc.gov/authorities/subjects/sh85014244. | |
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| 650 | 7 | |a Drug development |x Statistical methods. |2 fast |0 (OCoLC)fst00898671. | |
| 776 | 0 | 8 | |i Print version: |a Wang, Jixian (Statistician). |t Exposure-response modeling. |d Boca Raton : CRC Press, Taylor & Francis, [2016] |z 9781466573208 |w (DLC) 2015026094 |w (OCoLC)802325482. |
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