Linear Mixed Models for Longitudinal Data (Springer Series in Statistics)

by Geert Verbeke (Author), Geert Molenberghs (Author)

New
Paperback
2009
$126.58

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.

Synopsis

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.

$126.58

Quantity

10 in stock

More Information

Format: Paperback
Pages: 570
Edition: 1st ed. 2000. 2nd printing
Publisher: Springer
Published: 28 Apr 2009
ISBN 10: 1441902996
ISBN 13: 9781441902993

Media Reviews

From the reviews:

MATHEMATICAL REVIEWS

This book emphasizes practice rather than mathematical rigor and the majority of the chapters are explanatory rather than research oriented. In this respect, guidance and advice on practical issues are the main focus of the text. Hence it will be of interest to applied statisticians and biomedical researchers in industry, particularly in the pharmaceutical industry, medical public health organizations, contract research organizations, and academia.

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Over 125 illustrations are included in the book. ... I do believe that the book may serve as a useful reference to a broader audience. Since practical examples are provided as well as discussion of the leading software utilization, it may also be appropriate as a textbook in an advanced undergraduate-level or a graduate-level course in an applied statistics program. (Ana Ivelisse Avil es, Technometrics, Vol. 43 (3), 2001)

A practical book with a great many examples, including worked computer code and access to the datasets. ... The authors state that the book covers `linear mixed models for continuous outcomes' ... . The book has four main strengths: its practical bent, its emphasis on exploratory analysis, its description of tools for model checking, and its treatment of dropout and missingness ... . my impression of the book was ... positive. Its strong practical nature and emphasis on dropout modelling are particularly welcome ... . (Harry Southworth, ISCB Newsletter, June, 2002)

This book is devoted to linear mixed-effects models with strong emphasis on the SAS procedure. Guidance and advice on practical issues are the main focus of the text. ... It is of value to applied statisticians and biomedical researchers. ... I recommend this book as a reference to applied statisticians and biomedical researchers, particularly in the pharmaceutical industry, medical and public organizations. (Wang Songgui, Zentralblatt MATH, Vol. 956, 2001)