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Mixed-Effects Models in S and S-PLUS

by José C. Pinheiro, Douglas M. Bates, José C. Pinheiro

Series:Statistics and Computing

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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 show more 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. show less

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Author Information

Jose C. Pinheiro

1 Work 49 Members

Douglas M. Bates

2 Works 62 Members

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

José C. Pinheiro

1 Work 49 Members

Series

Statistics and Computing

Common Knowledge

Canonical title: Mixed-Effects Models in S and S-PLUS

Statistics

Members: 49
Popularity: 616,646
Rating: ½ (4.25)

Languages: English
Media: Paper, Ebook
ISBNs: 7

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Published: 2000
Genres: Nonfiction, Technology
DDC/MDS: 005.13
LCC: QA76.73 .S15 .P56

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Jose C. Pinheiro

1 Work 49 Members

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Douglas M. Bates

2 Works 62 Members

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