This paperback edition is a reprint of the 2000 edition. This book provides an overview of the theory and application of linear and nonlinear mixed-effectsmodels in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. A unified model-building strategy for both linear and nonlinear models is presented and applied to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong 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. Over 170 figures areincluded in the book. The NLME package for analyzing mixed-effects models in R and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presentedin the text, being described and illustrated in detail throughout the book. Provides 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 INDICE: Linear Mixed-Effects. Theory and Computational Methods for LME Models. Structure of Grouped Data. Fitting LME Models. Extending the Basic LME Model. Nonlinear Mixed-Effects. Theory and Computational Methods for NLME Models. Fitting NLME Models.
- ISBN: 978-1-4419-0317-4
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 528
- Fecha Publicación: 01/06/2009
- Nº Volúmenes: 1
- Idioma: Inglés