Classification and Analysis of Categorical Data

About this programme

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. Instruction is given in the form of lectures, exercise sessions, computer assignments and seminars. Some instruction is mandatory, see below under Assessment. The course is assessed through written examination and written reports on computer assignments. To follow your passion. To be close to international career opportunities. To explore city and countryside. In Stockholm you can really get the best of both worlds. Here we explain all the different steps you need to go through when applying to a course or programme. Stockholm University arranges regular webinars and participates in educational fairs and events virtually and around the world to meet students and inform them about our study programmes. Every year Stockholm University welcomes thousands of international students from all over the world. Each bringing their own backpack full of experiences, expectations and dreams. Education and research are closely linked at Stockholm University. As a student, you will have direct contact with leading resea