Classification and Analysis of Categorical Data
In this course you learn methods for analysing discrete, or categorical, data (for example frequencies and proportions). These methods are particularly important in biostatistics.
The course covers models for categorical data, twoway and multiway contingency tables, homogeneity and independence. In particular, generalized linear models for discrete data (including logistic regression and loglinear models) with respect to regression, classification and diagnostics, are studied.
This course replaces the course Categorical Data Analysis (MT5019) from the autumn 2025.
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. Some instruction is mandatory, see below under Assessment.
Assessment
The course is assessed through written examination and written reports on computer assignments.
In order to pass the course, mandatory seminars must be attended.
Examiner
Agresti: Categorical Data Analysis. Wiley.
