Marginal models : for dependent, clustered, and longitudinal categorical data
Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when depen...
Guardat en:
| Autors principals: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York
2009.
Cham : Springer Nature |
| Col·lecció: | Statistics for Social and Behavioral Sciences
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Numerisation de l'édition de : [s.l.] : Springer science + Business Media. 2009 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Qualitative aspects of large scale systems, developing design rules using APL, O. I. Franksen, P. Falster, F. J. Evans, Berlin, Springer-Verlag, 1979, 1 volume (xii-119 pages), Lecture notes in control and information sciences, 0-387-09609-4 • Marginal Models, Texte imprimé, 9780387561028 • Marginal Models, Texte imprimé, 9781441918734 |
Taula de continguts:
- Loglinear Marginal Models
- Nonloglinear Marginal Models
- Marginal Analysis of Longitudinal Data
- Causal Analyses: Structural Equation Models and (Quasi-)Experimental Designs
- Marginal modeling with latent variables
- Conclusions, Extensions, and Applications.