Monte Carlo Simulation for the Pharmaceutical Industry (PDF)
Concepts, Algorithms, and Case Studies
(Sprache: Englisch)
Helping you become a skillful "simulator," this book provides broad coverage of the drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods for carrying out computer...
sofort als Download lieferbar
eBook (pdf)
85.40 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Monte Carlo Simulation for the Pharmaceutical Industry (PDF)“
Helping you become a skillful "simulator," this book provides broad coverage of the drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods for carrying out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementing the simulation methods, and illustrates real-world problems through case studies. The author discusses many key topics, including game theory, adaptive design, molecular design, prescription drug marketing, biological pathway simulation, genetic programming, and pharmacokinetic modeling.
Autoren-Porträt von Mark Chang
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.
Bibliographische Angaben
- Autor: Mark Chang
- 2010, 564 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1439835934
- ISBN-13: 9781439835937
- Erscheinungsdatum: 29.09.2010
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 7.32 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Monte Carlo Simulation for the Pharmaceutical Industry"
Schreiben Sie einen Kommentar zu "Monte Carlo Simulation for the Pharmaceutical Industry".
Kommentar verfassen