Essentially all statistical problems can be formulated as regression problems: the problem of quantifying the relationship between a dependent variable and one or more independent variables. Surprisingly many statistical problems encountered in clinical practice can be succesfully handled with a small set of "core regression techniques", alongside an understanding of the rationale and limitations of statistical regression in general. The present course is a case-based introduction to these core regression techniques, with an emphasis on common features rather than differences.
Upon completion of the course, the student will be able to perform basic regression analyses in a suitable statistical software program. The student will also obtain a broad foundation for learning and applying other and more advanced regression techniques.
Topics covered will include the following:
- From research question to regression analysis
- Simple linear regression
- The t-test
- Multivariable regression (adjustment)
- Analysis of variance
- Regression in small samples
- An introduction to logistic regression
The course includes computer practical exercises. Examples will be provided in Stata syntax but other relevant software packages can be used for exercises.
Evaluation of the course will be based on active participation in the course including a practical exercise which is to be handed in after the course.
Søren Lundbye-Christensen, PhD, Senior Biostatistician
Martin Berg Johansen, MSc, Biostatistician
- ECTS: 2,4
- Time: March 23 and 30, and April 6. All days 8.30 - 15.30.
- Place: Nordkraft, Kjellerups Torv 1, room 3.3.17
- Zip code: 9000
- City: Aalborg
- Number of seats:
- Deadline: 2 March 2017.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.