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Table of contents
1. Introduction
2. Loglinear marginal models
3. Nonloglinear marginal models
4. Marginal analysis of longitudinal data
5. Causal analysis: structural equation models and (quasi) experimental designs
6. Marginal modeling with latent variables
7. Conclusions, extensions, applications
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