2. Study Design

3. Continuous Outcome Variables

4. Continuous Outcome Variables - Relationships with Other Variables

5. Other Possibilities to Model Longitudinal Data

6. Dichotomous Outcome Variables

7. Categorical and ‘count’ Outcome Variables

8. Longitudinal Studies with two Measurements: The Definition and Analysis of Change

9. Analysis of Experimental Studies

10. Missing Data in Longitudinal Studies

11. Tracking

12. Software for Longitudinal Data-Analysis

13. Sample Size Calculations

14. Index