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Pharmacokinetic and Pharmacodynamic Data Analysis
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Pharmacokinetic and Pharmacodynamic Data Analysis : Concepts and Applications, Second Edition

Book Details

Format Hardback or Cased Book
ISBN-10 9198299107
ISBN-13 9789198299106
Publisher Swedish Pharmaceutical Press
Imprint Swedish Pharmaceutical Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 26th, 2017
Print length 1040 Pages
Weight 2,028 grams
Dimensions 17.90 x 24.90 x 0.20 cms
Ksh 42,300.00
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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. 

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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