Analysis of Longitudinal Data

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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Publication Info

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

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APA Style

                            
                                    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

Identifiers

DOI: 10.4324/9781410605542-11