Sign In | Not yet a member? | Submit your article
 
Home   Technical   Study   Novel   Nonfiction   Health   Tutorial   Entertainment   Business   Magazine   Arts & Design   Audiobooks & Video Training   Cultures & Languages   Family & Home   Law & Politics   Lyrics & Music   Software Related   eBook Torrents   Uncategorized  
Letters: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies
Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies
Date: 15 April 2011, 11:09

Free Download Now     Free register and download UseNet downloader, then you can FREE Download from UseNet.

    Download without Limit " Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies " from UseNet for FREE!
Helping you become a creative, logical thinker and skillful "simulator," Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies pres 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 pre 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.

DISCLAIMER:

This site does not store Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies on its server. We only index and link to Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provided by other sites. Please contact the content providers to delete Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies if any and email us, we'll remove relevant links or contents immediately.



Comments

Comments (0) All

Verify: Verify

    Sign In   Not yet a member?


Popular searches