Analysis of longitudinal data / Peter J. Diggle ... [et al.].
Material type:
TextLanguage: English Series: Oxford statistical science series ; no. 25Publication details: Oxford : Oxford University Press, 2013. Edition: 2nd edDescription: p. cmISBN: 9780199676750 (pbk.); 0199676755 (pbk.); 9780198524847; 9780199676750Subject(s): Longitudinal method | Time-series analysis | Multivariate analysisDDC classification: 610.72 ANA Online resources: OCLC | E-book Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
E-Book
|
EWU Library E-book | Non-fiction | 610.72 ANA 2013 (Browse shelf(Opens below)) | Not For Loan | ||||
Text
|
EWU Library Reserve Section | Non-fiction | 610.72 ANA 2013 (Browse shelf(Opens below)) | C-1 | Not For Loan | 25605 | ||
|
Text
|
EWU Library Reserve Section | Non-fiction | 610.72 ANA 2013 (Browse shelf(Opens below)) | C-2 | Not For Loan | 26051 |
Browsing EWU Library shelves, Shelving location: Reserve Section Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 610.6 PHA 2005 Pharmacy business management / | 610.69 RIL 2000 Learning medicine : | 610.72 ANA 2013 Analysis of longitudinal data / | 610.72 ANA 2013 Analysis of longitudinal data / | 610.72 KLS 2010 SAS and R : | 610.72 KLS 2010 SAS and R : | 610.72 LES 2003 Statistical methods for survival data analysis / |
Previous ed.: 2002.
Includes bibliographical references and index.
1. Introduction ; 2. Design considerations ; 3. Exploring longitudinal data ; 4. General linear models ; 5. Parametric models for covariance structure ; 6. Analysis of variance methods ; 7. Generalized linear models for longitudinal data ; 8. Marginal models ; 9. Random effects models ; 10. Transition models ; 11. Likelihood-based methods for categorical data ; 12. Time-dependent covariates ; 13. Missing values in longitudinal data ; 14. Additional topics ; Appendix ; Bibliography ; Index
This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
CSE
Tahur Ahmed
There are no comments on this title.