Mixed-Effects Models in S and S-PLUS

Front Cover
Springer New York, 2000 - Computers - 528 pages
1 Review
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.

What people are saying - Write a review

We haven't found any reviews in the usual places.

Other editions - View all

References to this book

All Book Search results »

About the author (2000)

Douglas M. Bates is Professor of Statistics at the University of Wisconsin-Madison.