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MF9540 - Analysis of contingency tables and logistic regression

Course content

1. Analysis of contingency tables, 2x2 tables and rxc tables. Measures of effect. The chi-square test, Fisher’s exact test.
2. Stratified analyses, the Mantel Haenszel estimator.
Confounding and effect modification.
3. Simple logistic regression
4. Multiple logistic regression

Learning outcome

The course is intended to give an understanding of concepts and methods related to analysis of categorical data, with focus on analysis of contingency tables and logistic regression. The course is based on the SPSS software.


Ph.D. candidates and students at the Medical Student Research Programme will get first priority to the course. Maximum number of particpants is 35.

The StudentWeb is open for registration from 1st December until 20th December.

Registration for applicants without access to the StudentWeb from 1st December until 20th December.

Applicants will be notified by email 1 - 2 weeks after the final date for registration.


Formal prerequisite knowledge

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

Recommended previous knowledge

Some knowledge of linear regression models.


The course is organized as full day teaching over 4 days and includes lectures and exercises in PC-labs.

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.


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

Explanations and appeals

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


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.

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