Longitudinal data analysis /
Donald Hedeker, Robert D. Gibbons.
- Hoboken, N.J. : Wiley-Interscience, c2006.
- xx, 337 p. : ill. ; 25 cm.
- Wiley series in probability and statistics .
Includes bibliographical references (p. 313-334) and index.
Preface. - Acknowledgments. - Acronyms. - 1. Introduction. 2. ANOVA approaches to longitudinal data. - 3. ANOVA approaches to longitudinal data. - 4. Mixed-effects regression models for continuous outcomes. - 5. Mixed-effects polynomial regression models. - 6. Covariance pattern models. - 7. Mixed regression models with autocorrelated errors. - 8. Generalized estimating equations (GEE) models. - 9. Mixed-effects regression models for binary outcomes. - 10. Mixed-effects regression models for ordinal outcomes. - 11. Mixed-effects regression models for nominal data. - 12. Mixed-effects regression models for counts. - 13. Mixed-effects regression models for three-level data. - 14. Missing data in longitudinal studies. - Bibliography. - Topic index.
0471420271 (hbk.) 9780471420279 (hbk.)
Longitudinal method. Medicine--Research--Statistical methods Medical sciences--Research--Statistical methods. Social sciences--Research--Statistical methods.