Linear Mixed Models for Longitudinal Data
Download or Read eBook Linear Mixed Models for Longitudinal Data PDF written by Geert Verbeke and published by Springer Science & Business Media. This book was released on 2009-05-12 with total page 579 pages. Available in PDF, EPUB and Kindle.
Author | : Geert Verbeke |
Publisher | : Springer Science & Business Media |
Total Pages | : 579 |
Release | : 2009-05-12 |
ISBN-10 | : 9781441903006 |
ISBN-13 | : 1441903003 |
Rating | : 4/5 (06 Downloads) |
Book Synopsis Linear Mixed Models for Longitudinal Data by : Geert Verbeke
Book excerpt: 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.