Entry requirements

120 credits including 90 credits in statistics.

Learning outcomes

A student who has taken this course will:

• become familiar with software used in analysing categorical data
• be able to apply techniques to analyse different kinds of two-way contingency tables
• master the theory and application of the logistic regression model for analysing discrete response variable models
• master the theory and application of the loglinear model for analysing multidimensional contingency tables
• be able to carry out analysis and interpretation of loglinear models using the conditional independence graph and the generator multigraph

Content

• Two-way tables-theory, sampling schemes, and inference
• Logistic regression model-theory and application
• Loglinear model-theory and application
• Conditional independence graph-construction, application, and interpretation
• Generator multigraph-construction, application, and interpretation

Instruction

Instruction is given in the form of in-class lectures, computer exercises, and seminars.

Assessment

The examination takes place through a written examination and/or through written and/or oral presentation of take-home assignments.

Other regulations

This course is part of the master degree program in statistics.