Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies

✍ Scribed by Mark Chang (Author)

• Publisher: CRC Press
• Year: 2010
• Leaves: 566
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

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.

✦ Subjects

Bioscience;Pharmaceutical Science;Clinical Trials - Pharmaceutical Science;Drug Design & Development;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods