Exposure-response modeling : methods and practical implementation / Jixian Wang.
Material type: TextSeries: Chapman & Hall/CRC biostatistics seriesPublication details: Boca Raton : CRC Press, ©2016.Description: xix, 331 p. : illustrations ; 25 cmISBN:- 9781466573208 (hardcover : acidfree paper)
- 000SB:615.19 23 W246
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 000SB:615.19 W246 (Browse shelf(Opens below)) | Available | 137261 |
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000SB:615.9 M847 Statistics in toxicology | 000SB:615.902 Sp771 Statistics for the environment 4 | 000SB:615.1 G427 Analysis of spontaneous adverse drug reaction (ADR) reports in presence of reporting bias / | 000SB:615.19 W246 Exposure-response modeling : | 000SB:615.5 G696 Statistical methods for evaluating safety in medical product development / | 000SB:615.5 M434 Design and analysis of clinical trials for predictive medicine / | 000SB:615.5 Y94 Bayesian designs for phase I-II clinical trials / |
Includes bibliographical references and index.
1. Introduction --
2. Basic exposure and exposure-response models --
3. Dose-exposure and exposure-response models for longitudinal data --
4. Sequential and simultaneous exposure-response modeling --
5. Exposure-risk modeling for time-to-event data --
6. Modeling dynamic exposure-response relationships --
7. Bayesian modeling and model-based decision analysis --
8. Confounding bias and causal inference in exposure-response modeling --
9. Dose-response relationship, dose determination, and adjustment --
10. Implementation using software --
Appendix.
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.
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