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Uppsala University
Generalised Linear Models
Generalised linear model (GLM) is a broad class of statistical models that includes many commonly used models (e.g., linear regression and logistic regression) as special cases. In this course, we will make an overview of GLMs. Special attention is paid to models for binary, multinomial, ordinal, count, and proporti…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
Generalised linear model (GLM) is a broad class of statistical models that includes many commonly used models (e.g., linear regression and logistic regression) as special cases. In this course, we will make an overview of GLMs. Special attention is paid to models for binary, multinomial, ordinal, count, and proportion data. We will also extend GLMs to nonlinear models and models for dependent data. Real data sets will be analysed using GLMs and the related models.
Admission scores
Entry requirements
120 credits including 90 credits in statistics.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.uu.2st075.26600.20262
- Last checked
- 2026-09-23T10:39:41.205927+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.uu.2st075.26600.20262
- Offering identity in the source
- e.uoh.uu.2st075.26600.20262
- Education-form source code
- HS
- Education code in the source
- 2ST075
- Change time according to the source
- 2026-02-12T18:36:11
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.