Course content - Learning outcome - Admission - Prerequisites - Teaching - Examination - Evaluation

Course content

The course will give a short repetition of the logistic regression model. Further, we will look into the analysis of matched case-control studies and logistic models for nominal and ordinal outcomes with more than two categories.

Learning outcome

The participants will learn how to use SPSS to analyze data where the outcome variable is categorical with more than two categories. Logistic regression for the analysis of case-control studies will also be examined. Analysis of clinical and epidemiological data will be emphasized.

Admission

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Ph.D. candidates at the University of Oslo and students at the Medical Student Research Programme will get first priority to the course. External applicants will be admitted if there are any available places.

Maximum number of particpants is 30.

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Prerequisites

Formal prerequisite knowledge

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It is required that the participants have been through MF9130E - Introductory course in statistics / MF9130 - Innføring i statistikk or equivalent.

Recommended previous knowledge

It is highly recommended that the participants have a course in logistic regression.

Teaching

The course is given over four full days, as a mix of lectures and exercises in the computer room.

NB! You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance at lectures will be registered.

Access to teaching

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Examination

A take-home exam - analysis of a given dataset - will be given at the end of the course. Grading: pass/fail.

Examination support material

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Language of examination

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Grading scale

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Explanations and appeals

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Students can request an explanation of their grades, and can also appeal against their grades or make a complaint about formal examination errors. Read more about explanations and appeals

Resit an examination

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Withdrawal from an examination

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Special examination arrangements

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Evaluation

Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.