Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications (5th Edition)

By Johan Gabrielsson & Daniel Weiner

Pharmacokinetic and Pharmacodynamic Data Analysis (PK/PD), 5th Edition by Johan Gabrielsson and Daniel Weiner is a comprehensive, practice-focused reference for analyzing drug concentration–time and effect–time data. Blending conceptual clarity with hands-on techniques, the book walks readers from fundamental PK/PD principles to advanced modeling, simulation, and decision-making in drug development.

Product Details

• Title: Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications
• Edition: 5th Edition
• Authors: Johan Gabrielsson, Daniel Weiner
• ISBN-13: 9789198299106
• Format: Hardcover
• Price: $169.99
• Availability: In Stock | Free Shipping

What This Book Does

This text provides end-to-end guidance for extracting reliable information from PK/PD data and translating it into dosing strategies and development decisions. It covers study design, data handling, model selection, parameter estimation, and interpretation— linking theory to real-world workflows in academia and industry.

Key Features of the 5th Edition

• Foundations to Advanced: Core PK/PD concepts through population modeling, covariate analysis, and simulation-based decision support.
• Compartmental & NCA: Clear explanations of compartmental and noncompartmental analysis, including assumptions and limitations.
• PK/PD Link Models: Direct, indirect, effect-compartment, and turnover models with practical guidance for selection and fitting.
• Model Diagnostics: Residual analysis, goodness-of-fit checks, visual predictive checks (VPCs), and predictive performance.
• Design & Simulation: Dose/regimen optimization, power and precision, and scenario testing to inform development decisions.
• Hands-On Orientation: Examples and workflows compatible with common tools used in PK/PD analysis.

Table of Contents Highlights

1. PK/PD Study Design and Data Structures
2. Noncompartmental Analysis (NCA) and Exposure Metrics
3. Compartmental Models: Absorption, Distribution, Elimination
4. PD Models: Direct, Indirect, Effect-Compartment, Turnover
5. Population Approaches and Covariate Modeling
6. Parameter Estimation, Variability, and Uncertainty
7. Model Qualification: GOF, Residuals, VPCs, Predictive Checks
8. Simulation for Dose Selection and Trial Design
9. Case Studies and Decision Frameworks

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Overview

A definitive, practice-focused PK/PD reference that connects concentration–time and effect–time data analysis to modeling, simulation, and decision-making in drug development.

Who Should Use This Book?

• Pharmacometricians and clinical pharmacologists
• Biostatisticians and modelers in drug development
• Regulatory and medical affairs professionals needing PK/PD fluency
• Graduate students and researchers in pharmaceutical sciences

Why Buy from BooksGoat?

• Best market pricing
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FAQs

• Is this book suitable for beginners in PK/PD?
  Yes — it starts with core PK/PD principles and progresses step by step to advanced modeling and simulation.
• Does it cover both PK and PD modeling in depth?
  Yes — it comprehensively addresses concentration–time (PK) and effect–time (PD) relationships and their integration.
• Are population PK/PD and covariate models included?
  Yes — population approaches, variability, covariate analysis, and uncertainty are covered in detail.
• Does the book explain noncompartmental and compartmental analysis?
  Yes — both NCA and compartmental methods are clearly explained with assumptions and practical guidance.
• Is model diagnostics and validation covered?
  Yes — goodness-of-fit, residual analysis, VPCs, and predictive checks are treated thoroughly.
• Can this book help with dose and regimen optimization?
  Absolutely — simulation-based strategies for dose selection and trial design are a core focus.
• Is this relevant for pharmaceutical industry professionals?
  Yes — widely used by pharmacometricians, clinical pharmacologists, and drug development teams.
• Is this appropriate for graduate-level study and research?
  Yes — it is commonly used in MSc and PhD programs in pharmacometrics and pharmaceutical sciences.

Build robust PK/PD models, qualify decisions, and optimize dosing with confidence.