Monte Carlo Simulation for the Pharmaceutical Industry

Concepts, Algorithms, and Case Studies
1. Auflage 2010
ISBN: 978-1-4398-3592-0
Verlag: Taylor & Francis

Buch, Englisch, 566 Seiten, Format (B × H): 167 mm x 247 mm, Gewicht: 946 g

Reihe: Chapman & Hall/CRC Biostatistics Series

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 methods needed to carry out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementation of the simulation methods, and illustrates real-world problems through case studies.

The text first emphasizes the importance of analogy and simulation using examples from a variety of areas, before introducing general sampling methods and the different stages of drug development. It then focuses on simulation approaches based on game theory and the Markov decision process, simulations in classical and adaptive trials, and various challenges in clinical trial management and execution. The author goes on to cover prescription drug marketing strategies and brand planning, molecular design and simulation, computational systems biology and biological pathway simulation with Petri nets, and physiologically based pharmacokinetic modeling and pharmacodynamic models. The final chapter explores Monte Carlo computing techniques for statistical inference.

This book offers a systematic treatment of computer simulation in drug development. It not only deals with the principles and methods of Monte Carlo simulation, but also the applications in drug development, such as statistical trial monitoring, prescription drug marketing, and molecular docking.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Chang, Mark

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Pharmaindustrie
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Pharmazeutische Technologie

Inhaltsverzeichnis

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.

Über Autor(innen)

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.