Mixed Effects Models In S And S-Plus - Couverture rigide

Pinheiro, José-C

Couverture rigide

ISBN 10 : 0387989579 ISBN 13 : 9780387989570

Editeur : Springer-Verlag New York Inc., 2000

Synopsis

Mixed Effects Models involve measurements made over time on an individual in an experiment. This book presents the most recent techniques for analyzing this type of data in the statistical software program S-PLUS. It will be of interest to researchers and graduate students in statistics, biostatistics, and epidemiology.

A propos du livre

Présentation de l'éditeur

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.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2000
• Langue: anglais
• ISBN 10: 0387989579
• ISBN 13: 9780387989570
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 544
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; Allemagne