Categorical Data Analysis
The course covers models for categorical data, twoway and multiway contingency tables, homogeneity and independence, generalized linear models for discrete data, logistic regression, loglinear models for dicrete data and model diagnostics.
-
Course structure
The course consists of two modules, theory and computer assignments.
Teaching format
Instruction is given in the form of lectures, exercise sessions, computer assignments and seminars. In order to pass the course, mandatory seminars must be attended.
Assessment
The course is assessed through written examination and written reports on computer assignments.
Examiner
A list of examiners can be found on
-
Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
Agresti: Categorical Data Analysis. Wiley.
-
More information
-
Contact
