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Monte Carlo Simulation for the Pharmaceutical Industry - Concepts, Algorithms, and Case Studies (Paperback)
Loot Price: R1,951
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Monte Carlo Simulation for the Pharmaceutical Industry - Concepts, Algorithms, and Case Studies (Paperback)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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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.
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