Marie Davidian,
David .M Giltinan,
D.R. Cox,
David M. Giltinan,
David .M. Giltinan,
N. Reid,
Valerie Isham,
R.J. Tibshirani,
Thomas A. Louis,
Howell Tong,
Niels Keiding
e.a.
Nonlinear Models for Repeated Measurement Data
Gebonden Engels 1995 9780412983412Levertijd ± 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9780412983412
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:376
Uitgever:Taylor & Francis Ltd
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Inhoudsopgave
Introduction. Nonlinear regression models for individual data. Hierarchical linear models. Hierarchical nonlinear models. Inference based on individual estimates. Inference based on linearization. Nonperametric and semiparametric inference. Bayesian inference. Pharamcokinetic and pharamacodynamic analysis. Analysis of assay data. Further applications. Open problems and discussion. References. Indices.
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