Course content

Problems and advantages with dependent observations.
Summary measures (Area under curve (AUC), coefficient of slope, min/max value).
Analysis of covariance.
Randomized blocks ANOVA.
ANOVA for repeated measurements.
Friedman's non-parametric test.
Multivariate analysis.
Variance components.
Linear mixed effect models.
Use of relevant software (SPSS, Stata, R)

Learning outcome

Students shall gain insight into the problems and possibilities that arise from repeated measurements on the same individual or group. Furthermore, students shall be able to analyze a data material according to the defined contents of the course.

Learning methods and activities

Lectures and guided excercises

Recommended previous knowledge

Medical statistics part 1 and 2, or equivalent.

Required previous knowledge

Master or equivalent degree in medicine, health related subjects, or social sciences. Medical students at The Student Research Programme. Candidates with a lower degree may be assessed individually.

Credit reductions