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Pharmacokinetic-Pharmacodynamic Modeling and Simulation
This is a second edition to the original published by Springer in 2006. The comprehensive volume takes a textbook approach systematically developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models. Since the first edition was published the field has grown considerably in terms of maturity and technicality. The second edition of the book therefore considerably expands with the addition of three new chapters relating to Bayesian models, Generalized linear and nonlinear mixed effects models, and Principles of simulation. In addition, many of the other chapters have been expanded and updated.
Analysis of Pretest-Posttest Designs
How do you analyze pretest-posttest data? Difference scores? Percent change scores? ANOVA? In medical, psychological, sociological, and educational studies, researchers often design experiments in which they collect baseline (pretest) data prior to randomization. However, they often find it difficult to decide which method of statistical analysis i
Be a Model Communicator
Modeling and simulation are increasingly being used in science, business, and engineering to understand and explain complex systems, make predictions, and improve decision-making. Modeling today is not just about developing models. Modelers must be able to efficiently and effectively communicate their results to both laypeople and other scientists for their results to be useful and have impact. Unfortunately, scientists are taught to be boring and academic, all in the name of scientific rigor and professionalism. But it doesn't have to be that way. In this engaging and dynamic book, Dr. Bonate shows step-by-step from planning to delivery how to improve your oral presentations and become a better model communicator. Numerous examples and humorous anecdotes are used to explain concepts and material. Anyone who engages in modeling and simulation will benefit from reading this book.
Pharmacokinetic and Pharmacodynamic Data Analysis: Concepts and Applications, Third Edition
This is a revised and very expanded version of the previous second edition of the book. "Pharmacokinetic and Pharmacodynamic Data Analysis" provides an introduction into pharmacokinetic and pharmacodynamic concepts using simple illustrations and reasoning. It describes ways in which pharmacodynamic and pharmacodynamic theory may be used to give insight into modeling questions and how these questions can in turn lead to new knowledge. This book differentiates itself from other texts in this area in that it bridges the gap between relevant theory and the actual application of the theory to real life situations. The book is divided into two parts; the first introduces fundamental principles of ...
Pharmacokinetics in Drug Development
In this volume, the specific challenges and problems facing the evaluation of new oncology agents are explored with regards to pharmacokinetic, pharmacodynamic modeling and clinical pharmacology development strategies. This book delivers, with an emphasis on the oncology therapeutic area, the goals set in the first three volumes: namely – to provide clinical pharmacologists practical insights for the application of pharmacology, pharmacokinetics and pharmacodynamics for new drug development strategies. Pharmacokinetic-pharmacodynamic concepts for tyrosine kinases, the evaluation of cardiac repolarization prolongation through QTc interval effects, efficacy- and safety-response analyses to support new drug approvals, clinical and preclinical tumor growth modeling, and flat- vs weight-based dose selection are showcased from an oncology clinical pharmacologist’s point-of-view. Oncology development strategies are surveyed for new FDA-approvals to identify patterns in expectations at time of first approval. The special considerations necessary to address combination drug development, metronomics, biosimilars and breakthrough therapies are also presented.
Pharmacometrics
Pharmacometrics is the science of interpreting and describing pharmacology in a quantitative fashion. The pharmaceutical industry is integrating pharmacometrics into its drug development program, but there is a lack of and need for experienced pharmacometricians since fewer and fewer academic programs exist to train them. 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 key leaders in the field, this flagship text 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. This volume is an invaluable resource for all pharmacometricians, statisticians, teachers, graduate and undergraduate students in academia, industry, and regulatory agencies.
Pharmacokinetics in Drug Development
These volumes are designed to be the most complete guide to pharmacokinetics (PK) and its role in drug development. The volumes fill a gap between the academic science and the practical application of that knowledge in drug development. Volume 1 discusses the role that PK plays in selected clinical study designs. Volume 2 details the key regulatory and development paradigms in which PK supplements decision-making during drug development.
Pharmacokinetics in Drug Development
The topics chosen for this volume were selected because they are some of the current development or technological issues facing drug development project teams. They regard the practical considerations for assessment of selected special development populations. For example, they include characterization of drug disposition in pregnant subjects, for measuring arrhythmic potential, for analysis tumor growth modeling, and for disease progression modeling. Practical considerations for metabolite safety testing, transporter assessments, Phase 0 testing, and development and execution of drug interaction programs reflect current regulatory topics meant to address enhancement of both safety assessment and early decision-making during new candidate selection. Important technologies like whole body autoradiography, digital imaging and dried blood spot sample collection methods are introduced, as both have begun to take a more visible role in pharmacokinetic departments throughout the industry.
Pharmacokinetics in Drug Development
These volumes are designed to be the most complete guide to pharmacokinetics (PK) and its role in drug development. They fill a gap between the academic science and the practical application of that knowledge in drug development. Volume 1 discusses the role that PK plays in selected clinical study designs. Volume 2 details the key regulatory and development paradigms in which PK supplements decision-making during drug development.
Systems Pharmacology and Pharmacodynamics
While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.
