Linear Mixed Models for Longitudinal Data - Geert Verbeke,Geert Molenberghs
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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 i ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Geert Verbeke, Geert Molenberghs |
|---|---|
| Izdevējs | Springer New York |
| Series | Springer Series in Statistics |
| Izlaides gads | 2000 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780387950273 |