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Pharmacokinetic & pharmacodynamic data analysis : concepts and applications / Johan Gabrielsson and Dan Weiner

By:

Gabrielsson, Johan

Contributor(s):

Weiner, Dan

Material type: Text

TextPublication details: Sweden Apotekarsocieteten 2016Edition: 5th edDescription: 1040 pISBN:

9789198299106

Subject(s):

DDC classification:

615.7 GAB-J

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Date due	Barcode	Item holds
Course Reference Books	BITS Pilani Hyderabad	610	Text & Reference Section (Student cannot borrow these books)	615.7 GAB-J (Browse shelf(Opens below))	Available		38637

Total holds: 0

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Previous	615.7 BRA-D Biopharmaceutics and pharmacokinetics: a treatise /	615.7 BRA-D Biopharmaceutics and pharmacokinetics: a treatise /	615.7 DUC-M Shargel and Yu's applied biopharmaceutics and pharmacokinetics /	615.7 GAB-J Pharmacokinetic & pharmacodynamic data analysis : concepts and applications /	615.7 GIB-M Biopharmaceutics and clinical pharmacokinetics /	615.7 GIB-M Biopharmaceutics and clinical pharmacokinetics /	615.7 GIB-M Biopharmaceutics and clinical pharmacokinetics /	Next

Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications teaches everyday biological data analysis to the undergraduate and graduate levels. Through numerous examples and over 100 tutorials, scientists learn how to use PK/PD seamlessly in a variety of practical areas, from simple plasma kinetics, multi-compartment models, nonlinear kinetics, plasma protein binding, pharmacodynamic models, turnover concepts, receptor binding, functional adaption and rebound, dose-response-time data analysis, inter-species scaling and a lot more. A substantial effort has been invested into the new pharmacokineticsand pharmacodynamics, including many new and updated Case Studies.

The text develops a logical, real-world approach to data and reasoning, showing the reader how to:

Think both analytically and visually about data
Use graphics to make a point
Impove your pattern recognition ability
Make sound decisions
Strategize your data analyses
Appreciate more fully the exciting field of Quantitative Pharmacology

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