Nonlinear Models for Repeated Measurement Data

TRAMA

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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9780412983412
• Collana: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
• Dimensioni: 9 x 6 in Ø 1.45 lb
• Formato: Copertina rigida
• Pagine Arabe: 360