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