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Linear Mixed Models for Longitudinal Data - Springer Series in Statistics Geert Verbeke Softcover Reprint of the Original 1st Ed. 2000 edition
Linear Mixed Models for Longitudinal Data - Springer Series in Statistics
Geert Verbeke
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.
568 pages, 33 black & white illustrations, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 28, 2013 |
| ISBN13 | 9781475773842 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 568 |
| Dimensions | 155 × 235 × 31 mm · 820 g |
| Language | English |
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