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Linear mixed models for longitudinal data / Geert Verbeke,Geert Molenberghs
- 作者： Verbeke, Geert.
- 其他作者：
- 其他題名：
- Springer e-books
- 出版： New York : Springer c2000
- 叢書名： Springer series in statistics
- 主題： Linear models (Statistics) , Longitudinal method.
- ISBN： 9780387227757 (electronic bk.) 、 9780387950273 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005167650 | 機讀編目格式
館藏資訊
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.
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