Abstract

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

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Year
2001
Type
book-chapter
Pages
215-242
Citations
6913
Access
Closed

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Peter J. Diggle, Patrick J. Heagerty, Kung‐Yee Liang et al. (2001). Analysis of Longitudinal Data. Psychology Press eBooks , 215-242. https://doi.org/10.4324/9781410605542-11

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DOI
10.4324/9781410605542-11