Monte Carlo Simulation For The Pharmaceutical Industry Concepts Algorithms - Mark Chang

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.