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Exposure-response modeling : methods and practical implementation / Jixian Wang, Celgene International, Switzerland.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Wang, Jixian, author.
Series:
Chapman & Hall/CRC biostatistics series.
Chapman & Hall/CRC Biostatistics Series
Language:
English
Subjects (All):
Exposure therapy--Statistical methods.
Exposure therapy.
Drug development--Statistical methods.
Drug development.
Physical Description:
1 online resource (348 p.)
Edition:
1st ed.
Place of Publication:
Boca Raton : CRC Press, [2016]
Language Note:
English
Summary:
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
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
Notes:
A Chapman and Hall book.
Includes bibliographical references.
Description based on online resource; title from PDF title page (ebrary, viewed August 5, 2015).
ISBN:
0-429-10205-4
1-4665-7321-X
9780429102059
9781040058046
OCLC:
915134668

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