Pharmacometrics
The Science of Quantitative Pharmacology
Ed. by Ene I. Ette and Paul J. Williams
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Learn how to perform pharmacometrics to improve drug development success ratesThis 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.Foll...
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(r), S-PLUS(r), WinNonlin(r), WinNonmix(r), ADAPT(r), and MATLAB(r). 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 knowledgeneeded to excel in pharmacometrics. More experienced pharmacometricians will want to keep the text on hand to address questions and further develop their skills.
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(r), S-PLUS(r), WinNonlin(r), WinNonmix(r), ADAPT(r), and MATLAB(r). 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 knowledgeneeded 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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