9789198299106-9198299107-Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Second Edition

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

ISBN-13: 9789198299106
ISBN-10: 9198299107
Edition: 5
Author: Johan Gabrielsson, Daniel Weiner
Publication date: 2017
Publisher: Swedish Pharmaceutical Press
Format: Hardcover 1040 pages
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Book details

ISBN-13: 9789198299106
ISBN-10: 9198299107
Edition: 5
Author: Johan Gabrielsson, Daniel Weiner
Publication date: 2017
Publisher: Swedish Pharmaceutical Press
Format: Hardcover 1040 pages

Summary

Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Second Edition (ISBN-13: 9789198299106 and ISBN-10: 9198299107), written by authors Johan Gabrielsson, Daniel Weiner, was published by Swedish Pharmaceutical Press in 2017. With an overall rating of 3.6 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Second Edition (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $40.05.

Description

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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