Linear Mixed Models for Longitudinal Data
Linear Mixed Models for Longitudinal Data
Résumé
Provides a comprehensive treatment of linear mixed models for continuous longitudinal data. This book emphasises on exploratory data analysis for various aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure.
The feel-good place to buy books
- Free delivery in the UK
- Supporting authors with AuthorSHARE
- 100% recyclable packaging
- B Corp - kinder to people and planet
- Buy-back with World of Books - Sell Your Books
Linear Mixed Models for Longitudinal Data by Geert Verbeke
The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users.From the reviews:
MATHEMATICAL REVIEWS
"This book emphasizes practice rather than mathematical rigor and the majority of the chapters are explanatory rather than research orientedIn 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)
| SKU | Non disponible |
| ISBN 13 | 9780387950273 |
| ISBN 10 | 0387950273 |
| Titre | Linear Mixed Models for Longitudinal Data |
| Auteur | Geert Verbeke |
| Série | Springer Series In Statistics |
| État | Non disponible |
| Type de reliure | Hardback |
| Éditeur | Springer-Verlag New York Inc. |
| Année de publication | 2000-06-16 |
| Nombre de pages | 568 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |