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.
Information for admitted students autumn 2024
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
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Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
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For new international students
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 2024 (433 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 2024
Course coordinator
Per Gösta Andersson
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. -
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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 2024
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.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
