Pharmacometrics: The Science of Quantitative Pharmacology lays out the science of pharmacometrics and its application to drug development, evaluation, and patient pharmacotherapy, providing a comprehensive set of tools for the training and development of pharmacometricians.
Edited and written by leaders in the field, this definitive handbook on pharmacometrics:
- Integrates theory and practice to let the reader apply principles and concepts
- Provides a comprehensive set of tools for training and developing expertise in the pharmacometric field
- Is unique in including computer code information with the examples
Contents
- Pharmacometrics: Impacting Drug Development and Pharmacotherpay
Part I: General Principles
- General Principles of Programming (Computer and Statistical)
- Validation of Software for Pharmacometric Analyses
- Linear, Generalized Linear, and Nonlinear Mixed-Effects Models
- Bayesian Hierarchical Modeling with Markov Chain Monte Carlo Methods
- Estimating the Dynamics of Drug Regimen Compliance
- Graphical Display for Modeling Population Data
- The Epistemology of Pharmacometrics
- Data Imputation
Part II: Population Pharmacokinetic Basis of Pharmacometrics
- Population Pharmacokinetic Estimation Methods
- Timing and Efficiency in Population Pharmacokinetic / Pharmacodynamic Data Analysis
- Designing Population Pharmacokinetic Studies for Efficient Parameter Estimation
- Population Models for Drug Absorption and Entero-hepatic Recycling
- Pharmacometric Knowledge Discovery from Clinical trial Data Sets
- Resampling Techniques and Their Application to Pharmacometrics
- The Population Approach to Bioequivalence
Part III: Pharmacokinetics/Pharmacodynamics Relationship Biomarkers and Pharmacogenomics
- Biomarkers in Drug Development and Pharmacometric Modeling
- Analysis of Gene Expression Data
- Pharmacogenomics and Pharmacokinetic/Pharmacodynamic Modeling
- Empirical Pharmacokinetic/Pharmacodynamic Models
- Developing Models of Disease Progression
- Mechanistic Pharmacokinetic/Pharmacodynamic (PK/PD) Models
- Mechanistic Pharmacokinetic/Pharmacodynamic Models II
- PK/PD Analysis of Binary (Logistic) Outcome Data
- Population Pharmacokinetic / Pharmacodynamic Modeling of Ordered Categorical Longitudinal Data
- Transition Models in Pharmacodynamics
- Mixed Effects Modeling of Count Data
- Mixture Modeling with NONMEM
Part IV: Clinical Trial Designs
- Designs for First Time-in-Man Studies in Non-Oncology Indications
- Design for Phase I Studies in Oncology
- Design and Analysis of Clinical Exposure - Response Trials
Part V: Pharmacometric Knowledge Creation
- Pharmacometric Knowledge Creation: Towards Characterizing an Unexplored Region of the Response Surface
- Clinical Trial Simulation: Theory
- Modeling and Simulation: Planning and Execution
- Clinical Trial Simulation: Efficacy Trials
Part VI: Pharmacometric Service and Communication
- Engineering a Pharmacometrics Enterprise
- Communication of Pharmacometric Analysis Outcome
Part VII: Specific Applications Examples
- Pharmacometrics Applications in Population Exposure-Response Data for New Drug Development and Evaluation
- Pharmacometrics in Pharmacotherapy and Drug Development: Pediatric Application
- Pharmacometric Methods for Assessing Drug-Induced QT and QTc Prolongations for Non-Antiarrhythmic Drugs
- Using Pharmacometrics in the Development of Biologic Therapeutic Agents
- Analysis of Quantic Pharmacokinetic Study: Robust Estimation of Tissue-to-Plasma Ratio
- Physiologically Based Pharmacokinetic Modeling: Inhalation, Ingestion and Dermal Absorption
- Modeling of Metablite Pharmacokinetics in a Large Pharmacokinetic Data Set: An Application
- Characterizing Nonlinear Pharmacokinetics: An Example Scenario for a Therapeutic Protein
- Development, Evaluation and Applications of In Vitro/ In Vivo Correlations: A Regulatory Perspective
- The Confluence of Pharmacometric Knowledge Discovery and Creation in the Characterization of Drug Safety
Index