Generalized Linear Models
With this course you will achieve a good knowledge of statistical principles and methods used in biostatistics and other scientific applicatoins. You will learn to apply some of the most common generalized linear models within statistical analysis of medical data or in other fields.
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.
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Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
Teaching forms may consist of lectures, exercises, seminars, computer sessions and tutoring. Somecompulsory attendance and other mandatory elements may be required.
Language: English.
Course information
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Course description fall 2022 (226 Kb)
More information for registered students will be found in Athena.
Assessment
Examination will comprise a written test atthe end of the course and/or written and oral presentations of compulsory exercises.
Examiner
Teachers autumn 2020
2
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
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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. -
Course reports
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers autumn 2022
Course coordinator
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
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.
