The course teaches you to decide which model is the most appropriate in the different applications that may occur and to assimilate the content in scientific papers on generalized linear models. You will also develop your skills within oral and written presentations of results of your analysis.

The concepts that are more thoroughly treated are: Likelihood-based inference. Models with different link-functions and distributions, such as models for discrete data. Binary regression. Analysis of contingency tables. Introduction to log-linearmodels. Estimation and model adjustment. Residual analysis. Practical examples from different fields ofapplication.

Special eligibility requirements: 90 ECTS credits in Statistics or equivalent and Swedish upper secondary school course English B or equivalent.
Language: English

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Course information

More information for registered students will be found in Athena.

Teachers autumn 2019

Course coordinator

Gebregegus Ghilagaber

You'll find reception hours in the link above. If you wish to visit the teacher outside of his/her reception hours, you are welcome to e-mail him/her for an appointment.

Teaching assistant

Mahmood Ul Hassan