Learning outcomes

The course introduces the theory of mixed models. Especially the analysis of repeated measures data with the help of mixed models is discussed. Some statistical software (e.g. the MIXED procedure of R or SAS software ) is used during the course.

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. Demidenko, E., Mixed models: theory and applications. Wiley 2004.
2. Fitzmaurice, G. M., Laird, N. M., Wave, J. H., Applied longitudinal analysis. Wiley 2004.
3. McCulloch, C. E., Searle, S. R., Generalized linear and mixed models. Wiley 2001.
4. Pinheiro, J. C., Bates, D. M., Mixed-effects models in S and S-PLUS. Springer 2000.
5. Searle, S. R., Casella, G., McCulloch, C. E., Variance components. Wiley 1992.
6. Verbeke, G., Molenberghs, G., Linear mixed models in practice. Springer 1997.

Belongs to following study modules