Main Title |
Linear mixed models for longitudinal data |
Author |
Verbeke, Geert.
|
Other Authors |
|
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. |
Place Published |
New York : |
PUB Date Free Form |
c2000. |
Series Title Traced |
Springer series in statistics |
BIB Level |
m |
Cataloging Source |
OCLC/T |
LCCN |
00026596 |
OCLC Time Stamp |
20060424125826 |
Language |
eng |
Origin |
OCLC |
Type |
CAT |
OCLC Rec Leader |
02147cam 22003854a 45020 |