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Mixed-Effects Models in S and S-PLUS

  • Book
  • © 2000

Overview

  • This 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.

Part of the book series: Statistics and Computing (SCO)

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About this book

“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this 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 in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)

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Table of contents (8 chapters)

Reviews

“Over 170 figures are included in the book. … the material covered in the book is self-contained … . The balanced mix of real data examples, modeling software, and theory makes this 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 in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)

Authors and Affiliations

  • Bell Laboratories, Lucent Technologies, Murray Hill, USA

    José C. Pinheiro

  • Department of Computer Sciences and Statistics, University of Wisconsin, Madison, USA

    Douglas M. Bates

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