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
Modes of study
Evaluation
Numeric 1-5.
Recommended year of study
2. year autumn
2. year spring
3. year autumn
3. year spring
Study materials
Demidenko, E., Mixed Models: Theory and Applications. Wiley 2004.
Searle, S. R., Casella, G., McCulloch, C. E., Variance Components. Wiley 1992.
Verbeke, G., Molenberghs, G., Linear Mixed Models in Practice. Springer 1997.
McCulloch, C. E., Searle, S. R., Generalized Linear and Mixed Models. Wiley 2001.
Fitzmaurice, G. M., Laird, N. M., Wave, J. H., Applied Longitudinal Analysis. Wiley 2004.
Pinheiro, J. C., Bates, D. M., Mixed-Effects Models in S and S-PLUS. Springer 2000.