Mark Chang

Monte Carlo Simulation for the Pharmaceutical Industry (eBook, PDF)

Concepts, Algorithms, and Case Studies

• Format: PDF

Produktbeschreibung

Helping you become a skillful "simulator," this book provides broad coverage of the drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods for carrying out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementing the simulation methods, and illustrates real-world problems through case studies. The author discusses many key topics, including game theory, adaptive design, molecular design, prescription drug marketing, biological pathway simulation, genetic programming, and pharmacokinetic modeling.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 564
• Erscheinungstermin: 29. September 2010
• Englisch
• ISBN-13: 9781439835937
• Artikelnr.: 57533731

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.