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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Davidian, Marie
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Hardback. Condición: Fair. 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. Nº de ref. del artículo: CIN0412983419A
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Hardback. Condición: Very Good. No Jacket. Circa 1998. Very good condition with no wrapper. Monographs on Statistics and Applied Probability 62. Green glazed boards, white titles. Boards scuffed, bump to lower front edge. Front hinge pulled. One or two minor marks to contents. Packaged with care and promptly dispatched! Nº de ref. del artículo: 1820456
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