Skip to main content
SpringerLink
Log in
Book cover

Mixed-Effects Models in S and S-PLUS

  • Book
  • © 2000

Overview

Authors:
  1. José C. Pinheiro

    1. Bell Laboratories, Lucent Technologies, Murray Hill, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Douglas M. Bates

    1. Department of Computer Sciences and Statistics, University of Wisconsin, Madison, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  4. Back Matter

    Pages 415-528
    Download chapter PDF
Back to top

Keywords

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)

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

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation