Monte Carlo Simulation for the Pharmaceutical Industry
Concepts, Algorithms, and Case Studies
Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and metho
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Produktdetails
- ISBN: 978-1-4398-3593-7
- EAN: 9781439835937
- Produktnummer: 32395674
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 564 S.
- Plattform: PDF
- Masse: 7'673 KB
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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