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Nonlinear Models for Repeated Measurement Data

By: (Author) David .M Giltinan , (Author) David .M. Giltinan , (Author) Marie Davidian , (Author) Marie Davidian

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Ksh 26,100.00

Format: Hardback or Cased Book

ISBN-10: 0412983419

ISBN-13: 9780412983412

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 1st, 1995

Print length: 376 Pages

Weight: 712 grams

Dimensions (height x width x thickness): 23.80 x 16.30 x 2.90 cms

Product Classification: Probability & statistics
Mathematical modelling
Maths for scientists
Maths for engineers

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A monograph aimed at providing a delineation of currently available modelling approaches and inferential methods for nonlinear repeated measures, whilst making the material accessible to a wide audience.
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.

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