An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course.
- ISBN10 1441903178
- ISBN13 9781441903174
- Publish Date 17 April 2009 (first published 1 January 2000)
- Publish Status Unknown
- Out of Print 10 July 2014
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Edition 1st ed. 2000. 2nd printing 2009
- Format Paperback (US Trade)
- Pages 548
- Language English