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RECORD NUMBER: 13 OF 34

OLS Field Name OLS Field Data
Main Title Linear mixed models for longitudinal data
Author Verbeke, Geert.
Other Authors
Author Title of a Work
Molenberghs, Geert.
Publisher Springer,
Year Published 2000
OCLC Number 43615499
ISBN 0387982221 (alk. paper) 0387950273
Subjects Linear models (Statistics) ; Longitudinal method ; Statistics--methods ; Linear Models ; Longitudinal Studies ; Mod eles lineaires (Statistique) ; Methode longitudinale
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA279.V458 2000 Research Triangle Park Library/RTP, NC 04/28/2006
Collation xxii, 568 p. : ill. ; 25 cm.
Notes
Includes bibliographical references (p. {523}-553) and index.
Contents Notes
1. Introduction -- 2. Examples -- 3. A Model for Longitudinal Data -- 4. Exploratory Data Analysis -- 5. Estimation of the Marginal Model -- 6. Inference for the Marginal Model -- 7. Inference for the Random Effects -- 8. Fitting Linear Mixed Models with SAS -- 9. General Guidelines for Model Building -- 10. Exploring Serial Correlation -- 11. Local Influence for the Linear Mixed Model -- 12. The Heterogeneity Model -- 13. Conditional Linear Mixed Models -- 14. Exploring Incomplete Data -- 15. Joint Modeling of Measurements and Missingness -- 16. Simple Missing Data Methods -- 17. Selection Models -- 18. Pattern-Mixture Models -- 19. Sensitivity Analysis for Selection Models -- 20. Sensitivity Analysis for Pattern-Mixture Models -- 21. How Ignorable Is Missing At Random? -- 22. The Expectation-Maximization Algorithm -- 23. Design Considerations -- 24. Case Studies -- App. B. Technical Details for Sensitivity Analysis.