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Table of contents (24 chapters)
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Front Matter
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 és, 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 thepharmaceutical industry, medical and public organizations." (Wang Songgui, Zentralblatt MATH, Vol. 956, 2001)
Authors and Affiliations
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Biostatistical Centre, Katholieke Universiteit Leuven, Leuven, Belgium
Geert Verbeke
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Biostatistics Center for Statistics, Limburgs Universitair Centrum, Diepenbeek, Belgium
Geert Molenberghs
Bibliographic Information
Book Title: Linear Mixed Models for Longitudinal Data
Authors: Geert Verbeke, Geert Molenberghs
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/b98969
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-387-95027-3Published: 16 June 2000
Softcover ISBN: 978-1-4757-7384-2Published: 28 March 2013
eBook ISBN: 978-0-387-22775-7Published: 27 January 2008
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XXII, 568
Topics: Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Statistical Theory and Methods