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PNS0186

Statistics IV: Generalized Linear Models

The course will cover the following topics:
• Binomial and multinomial logistic regression
• Poisson regression
• Overdispersion and zero-inflation.
• Generalized linear models and generalized linear mixed models.

PNS0186 Statistics IV: Generalized Linear Models, 4.0 Credits

Syllabus approved

2019-08-19

Subjects

Mathematic Statistics

Education cycle

No Level Indicated

Grading scale

Pass / Failed The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.

Language

English

Prior knowledge

Statistics III: Regression Analysis or equivalent.

Objectives

The objective of the course is to give an overview of generalized linear models. On completion of the course, the student will be able to:
• specify generalized linear models including conditions and assumptions
• select an appropriate linear model for a given problem
• carry out an analysis based on a generalized linear model in the statistical software R or SAS
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions

Content

The course will cover the following topics:
• Binomial and multinomial logistic regression
• Poisson regression
• Overdispersion and zero-inflation.
• Generalized linear models and generalized linear mixed models.

Formats and requirements for examination

Passed exercises and passed examination in written and/or oral form.

Responsible department

Department of Energy and Technology

Course facts

Subject: Mathematic Statistics
Course code: PNS0186 Location: Uppsala Distance course: No Language: English Responsible department: Department of Energy and Technology Pace: 55%