Pharmacometrics: The Science of Quantitative Pharmacology / Edition 1

Pharmacometrics: The Science of Quantitative Pharmacology / Edition 1

5.0 1
by Ene I. Ette

ISBN-10: 0471677833

ISBN-13: 9780471677833

Pub. Date: 02/16/2007

Publisher: Wiley

Learn how to perform pharmacometrics to improve drug development success rates

This landmark text is the first to pull together and present in one volume the many facets of pharmacometrics. It features an international team of editors and authors who are experts in the field. Readers gain the knowledge base needed to perform pharmacometric analyses, interpret the

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Learn how to perform pharmacometrics to improve drug development success rates

This landmark text is the first to pull together and present in one volume the many facets of pharmacometrics. It features an international team of editors and authors who are experts in the field. Readers gain the knowledge base needed to perform pharmacometric analyses, interpret the results, and communicate these results to key decision makers. In particular, the text emphasizes the role of pharmacometrics in drug development, reflecting the field's enormous potential to increase drug development productivity.

Following an introduction that sets forth key landmarks in the history of pharmacometrics, a section on general principles features such topics as essential programming methods and techniques for pharmacometric analysis software validation. Next, the text presents a series of sections designed to enable readers to gain the knowledge needed to grasp pharmacometrics and then apply that knowledge to practical applications:

  • Population pharmacokinetic basis of pharmacometrics
  • Pharmacokinetics/pharmacodynamics relationship, including pharmacogenomics
  • Clinical trial designs
  • Pharmacometric knowledge creation including clinical trial simulation
  • Pharmacometric service and communication
  • Specific application examples

In addition to its clear and straightforward presentation of theory and methodology, the text features application examples with codes in NONMEM®, S-PLUS®, WinNonlin®, WinNonmix®, ADAPT®, and MATLAB®. Readers can reproduce the examples themselves and gain a deeper understanding of the many practical benefits of pharmacometrics.

Clinical pharmacologists/pharmacokineticists and pharmacometricians in drug development and pharmacotherapy, as well as students in clinical pharmacy, pharmaceutical sciences, and clinical pharmacology, should take advantage of this text to gain the training and knowledge needed to excel in pharmacometrics. More experienced pharmacometricians will want to keep the text on hand to address questions and further develop their skills.

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Table of Contents





Chapter 1. Pharmacometrics: Impacting Drug Development and Pharmacotherpay.


Chapter 2. General Principles of Programming (Computer and Statistical).

Chapter 3. Validation of Software for Pharmacometric Analyses.

Chapter 4. Linear, Generalized Linear, and Nonlinear Mixed-Effects Models.

Chapter 5. Bayesian Hierarchical Modeling with Markov Chain Monte Carlo Methods.

Chapter 6. Estimating the Dynamics of Drug Regimen Compliance.

Chapter 7. Graphical Display for Modeling Population Data.

Chapter 8. The Epistemology of Pharmacometrics.

Chapter 9. Data Imputation.


Chapter 10. Population Pharmacokinetic Estimation Methods.

Chapter 11. Timing and Efficiency in Population Pharmacokinetic / Pharmacodynamic Data Analysis.

Chapter 12. Designing Population Pharmacokinetic Studies for Efficient Parameter Estimation.

Chapter 13. Population Models for Drug Absorption and Entero-hepatic Recycling.

Chapter 14. Pharmacometric Knowledge Discovery from Clinical trial Data Sets.

Chapter 15. Resampling Techniques and Their Application to Pharmacometrics.

Chapter 16. The Population Approach to Bioequivalence.


Chapter 17. Biomarkers in Drug Development and Pharmacometric Modeling.

Chapter 18. Analysis of Gene Expression Data.

Chapter 19. Pharmacogenomics and Pharmacokinetic/Pharmacodynamic Modeling.

Chapter 20. Empirical Pharmacokinetic/Pharmacodynamic Models.

Chapter 21. Developing Models of Disease Progression.

Chapter 22. Mechanistic Pharmacokinetic/Pharmacodynamic (PK/PD) Models.

Chapter 23. Mechanistic Pharmacokinetic/Pharmacodynamic Models II.

Chapter 24. PK/PD Analysis of Binary (Logistic) Outcome Data.

Chapter 25. Population Pharmacokinetic / Pharmacodynamic Modeling of Ordered Categorical Longitudinal Data.

Chapter 26. Transition Models in Pharmacodynamics.

Chapter 27. Mixed Effects Modeling of Count Data.

Chapter 28. Mixture Modeling with NONMEM.


Chapter 29. Designs for First Time-in-Man Studies in Non-Oncology Indications.

Chapter 30. Design for Phase I Studies in Oncology.

Chapter 31. Design and Analysis of Clinical Exposure - Response Trials.


Chapter 32. Pharmacometric Knowledge Creation: Towards Characterizing an Unexplored Region of the Response Surface.

Chapter 33. Clinical Trial Simulation: Theory.

Chapter 34. Modeling and Simulation: Planning and Execution.

Chapter 35. Clinical Trial Simulation: Efficacy Trials.


Chapter 36. Engineering a Pharmacometrics Enterprise.

Chapter 37. Communication of Pharmacometric Analysis Outcome.


Chapter 38. Pharmacometrics Applications in Population  Exposure-Response Data for New Drug Development and Evaluation.

Chapter 39. Pharmacometrics in Pharmacotherapy and Drug Development: Pediatric Application.

Chapter 40. Pharmacometric Methods for Assessing Drug-Induced QT and QTc Prolongations for Non-Antiarrhythmic Drugs.

Chapter 41. Using Pharmacometrics in the Development of Biologic Therapeutic Agents.

Chapter 42. Analysis of Quantic Pharmacokinetic Study: Robust Estimation of Tissue-to-Plasma Ratio.

Chapter 43. Physiologically Based Pharmacokinetic Modeling: Inhalation, Ingestion and Dermal Absorption.

Chapter 44. Modeling of Metablite Pharmacokinetics in a Large Pharmacokinetic Data Set: An Application.

Chapter 45. Characterizing Nonlinear Pharmacokinetics: An Example Scenario for a Therapeutic Protein.

Chapter 46. Development, Evaluation and Applications of In Vitro/ In Vivo Correlations: A Regulatory Perspective.

Chapter 47. The Confluence of Pharmacometric Knowledge Discovery and Creation in the Characterization of Drug Safety.

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Pharmacometrics: The Science of Quantitative Pharmacology 5 out of 5 based on 0 ratings. 1 reviews.
MI69 More than 1 year ago
An excellent book who wants to learn quantitative pharmacology. it is a book to keep for a lifetime.