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.
- ISBN13 9781351428149
- Publish Date 1 November 2017 (first published 1 June 1995)
- Publish Status Active
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Chapman and Hall
- Format eBook (EPUB)
- Pages 360
- Language English