Nonlinear models for repeated measurement data

Description

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 model 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.

Subjects

Series Statement

• Monographs on statistics and applied probability ;

Other Editions

• Nonlinear models for repeated measurement dataChapman & Hall/CRC1998-01-01
• Nonlinear models for repeated measurement dataChapman & Hall1995-01-01
• Nonlinear Models for Repeated Measurement Data (Monographs on Statistics and Applied Probability)Chapman & Hall/CRC1995-06-01
• Nonlinear Models for Repeated Measurement DataCRC Press LLC2017-01-01
• Nonlinear Models for Repeated Measurement DataCRC Press LLC2017-01-01
• Nonlinear Models for Repeated Measurement DataCRC Press LLC2017-01-01