General description

Longitudinal studies are nowadays in an important position in many fields of science, e.g. medicine, economics and social sciences. These research models aim at analysing change caused e.g. by growth, deterioration, maturation, ageing etc. when individuals are followed for instance with respect to time or some spatial dimension.

Learning outcomes

The course introduces some methods of analysis used in longitudinal research whose statistical basis lies mainly in multivariate analysis or linear models.

Contents

See objectives.

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

2. year autumn
2. year spring
3. year autumn
3. year spring

Study materials

1. Pan, J., Fang, K.-T., Growth Curve Models and Statistical Diagnostics. Springer-Verlag 2002.
2. Kshirsagar, A. M., Smith, W. B., Growth Curves. Marcel Dekker, New York 1995.
3. Diggle, P. J., Liang, K.-Y., Zeger, S. L., Analysis of Longitudinal Data. Oxford University Press 1993.

Belongs to following study modules