Linear Mixed Models for Longitudinal Data (2000) (Springer Series in Statistics)
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- Synopsis
- 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.
- Copyright:
- 2000
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781441903006
- Related ISBNs:
- 9781441902993
- Publisher:
- Springer New York
- Date of Addition:
- 02/20/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.