Mark Chang

Monte Carlo Simulation for the Pharmaceutical Industry

Concepts, Algorithms, and Case Studies

• Gebundenes Buch

Produktbeschreibung

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

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 566
• Erscheinungstermin: 29. September 2010
• Englisch
• Abmessung: 247mm x 167mm x 35mm
• Gewicht: 946g
• ISBN-13: 9781439835920
• ISBN-10: 1439835926
• Artikelnr.: 29959971

Autorenporträt

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.

Inhaltsangabe

Simulation, Simulation Everywhere. Virtual Sampling Techniques. Overview of
Drug Development. Meta-Simulation for Pharmaceutical Industry.
Macro-Simulation for Pharmaceutical R & D. Clinical Trial Simulation (CTS).
Clinical Trial Management and Execution. Prescription Drug
Commercialization. Molecular Design and Simulation. Disease Modeling and
Biological Pathway Simulation. Pharmacokinetic Simulation. Pharmacodynamic
Simulation. Monte Carlo for Inference and Beyond. Appendices. Afterword.
Bibliography.