ISBN: 9781566762045 - mathematical modeling of pharmacokinetic data (25 Ergebnisse)

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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Hardback. Zustand: Fine. In excellent condition, no writing or markings, book is crisp and clean. 100% satisfaction guarantee. Shipped with care in a bubble mailer. Feel free to inquire for photos or more details. I hand inspect every item. --- A concise treatment of fitting mathematical models to pharmacokinetic data, by Steven Strauss and David W.A. Bourne. The opening chapters explain why data are modeled at all: to condense results, test mechanisms and make predictions. They then set out a general fitting method. The authors cover compartmental, physiologically based and pharmacodynamic models, and show how to simulate data from explicit and implicit equations and from differential equations, using Laplace transforms or numerical integration. Later chapters deal with getting initial parameter estimates through graphical methods, linear regression, curve stripping, area-under-the-curve estimation and deconvolution. They also cover non-linear regression algorithms, including grid search, steepest descent, Gauss-Newton and simplex, along with the problem of local minima. Weighting schemes range from equal weights to extended least squares and Bayesian methods, and population data are also treated. The book closes with chapters on reading program output and on experimental design.…

Hardcover. Zustand: Good. No Jacket. 1st Edition. Condition : Good. Hard cover, no jacket. 139pp. Former university library copy with associated markings. No annotations or highlighting to text. THICK LIBRARY TAPE ACROSS COVERS. Photo on request.

Hardcover. Zustand: Fine. No Jacket. 1995.Hardcover.Fine.Tiny blemish to lower back corner otherwise as new.Ships from Japan.Usually ships in 1-2 working days.

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hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Hardcover. Zustand: gut. 1995. Mathematical Modeling of Pharmacokinetic Data In englischer Sprache. pages.

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Zustand: New. pp. 152.

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Hardcover. Zustand: Brand New. 1st edition. 150 pages. 9.50x6.50x0.75 inches. In Stock.

Zustand: New. Num Pages: 152 pages, 1, black & white illustrations. BIC Classification: TDCW. Category: (XV) Technical / Manuals. Dimension: 234 x 156 x 9. Weight in Grams: 431. . 1995. 1st Edition. Hardcover. . . . .

Zustand: New. Num Pages: 152 pages, 1, black & white illustrations. BIC Classification: TDCW. Category: (XV) Technical / Manuals. Dimension: 234 x 156 x 9. Weight in Grams: 431. . 1995. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bourne, DavidW.A.A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book contains valuable methods for maximizing the information obtained from given data. It is an ideal resource for scientists, scholars, and advanced s.…

Zustand: New. pp. 152 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam This item is printed on demand.

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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book covers methods for maximizing the information obtained from given data. It presents a systematic approach to using the mathematical software tools available so that the investigator may extract the maximum information from a given set of data. The author discusses the rationale for mathematical modeling and presents a brief review of pharmacokinetic models to provide a common framework for the following chapters. It describes questions of experimental design and covers topics such as pilot study considerations, identifiability of parameter values, and optimal sampling time selection.…