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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.

  • 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

    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

    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

     

  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.
  • Contact

    If you have questions about the course, please contact the cours coordinator:

    Teachers autumn 2020

    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

     

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.