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OverviewFull Product DetailsAuthor: Jixian WangPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Volume: 84 Weight: 0.680kg ISBN: 9781466573208ISBN 10: 1466573201 Pages: 351 Publication Date: 17 July 2015 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction. Basic exposure and exposure-response models. Dose-exposure and exposure-response models for longitudinal data. Sequential and simultaneous exposure-response modeling. Exposure-risk modeling for time-to-event data. Modeling dynamic exposure-response relationships. Bayesian modeling and model-based decision analysis. Confounding bias and causal inference in exposure-response modeling. Dose-response relationship, dose determination, and adjustment. Implementation using software. Appendix. Bibliography. Index.Reviews...the book is worth reading as it takes the reader all the way from basic to state-of-the-art exposure-response modeling approaches and challenges. It focuses on detailed mathematical derivations, with many insights based on practical experience. Moreover, many data examples are accompanied by software code ... ~Biometrical Journal ... the greatest strength of this book is that the models and methodologies are always motivated and explained by applications and examples, which effectively communicates to readers the basic ideas behind complex methodologies. Also, practical implementation and computer code are discussed alongside the methods, which will help readers to apply the methods to their own data. ~University of Texas Health Science Center at Houston ...the book is worth reading as it takes the reader all the way from basic to state-of-the-art exposure-response modeling approaches and challenges. It focuses on detailed mathematical derivations, with many insights based on practical experience. Moreover, many data examples are accompanied by software code ... -Biometrical Journal Author InformationJixian Wang is a principal statistician at Celgene International, Switzerland. He worked on drug development for 14 years at GSK and Novartis Pharma and was an academic researcher at Edinburgh University and Dundee University, where he is still an honorary research fellow. His research interests include statistical methodology and its applications to real problems in pharmaceuticals, including exposure-safety, PKPD modeling, treatment/dose selection, health economics, benefit-risk and health technology assessments, and optimal trial design. Tab Content 6Author Website:Countries AvailableAll regions |