Monte Carlo Simulation for the Pharmaceutical Industry
Concepts, Algorithms, and Case Studies
A complete dissertation of the theory and practice of Monte Carlo simulation in the pharmaceutical and health industry, this book describes simulation methodologies including data sampling, game theory, deterministic and stochastic decision theories, the adaptive design method, Petri nets, genetic programming, resampling methods, and computer algorithms. Teaching readers how to become visionary, creative, and skillful simulators, the book provides broad coverage of the entire drug development process from drug discovery, through preclinical and clinical development to prescription drug commercialization.
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Produktdetails
- ISBN: 978-1-4398-3592-0
- EAN: 9781439835920
- Produktnummer: 23286245
- Verlag: Taylor and Francis
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 570 S.
- Masse: H23.4 cm x B15.6 cm 952 g
- Abbildungen: Farb., s/w. Abb.
- Gewicht: 952
Über den Autor
Mark Chang is the executive director of biostatistics and data management at AMAG Pharmaceuticals in Lexington, Massachusetts. Dr. Chang is an elected fellow of the American Statistical Association. He is the author of the best-selling Adaptive Design Theory and Implementation Using SAS and R and co-author of the best-selling Adaptive Design Methods in Clinical Trials.
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