Description: 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
Software
The course includes computer practical exercises. Examples will be provided in Stata syntax but other relevant software packages can be used for exercises.
Evaluation
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.
Organizer: Søren Lundbye-Christensen og Martin Nygård Johansen
Lecturers: Søren Lundbye-Christensen og Lasse Hjort Jakobsen
ECTS: 2,4
Time: May 3rd, 10th and 17th
Place: Niels Jernes Vej 14, room 3-119
City: 9220 Aalborg
Number of seats: 20
Deadline: April 12th 2022
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 3.000 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 four 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.
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
Software
The course includes computer practical exercises. Examples will be provided in Stata syntax but other relevant software packages can be used for exercises.
Evaluation
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.
Organizer: Søren Lundbye-Christensen og Martin Nygård Johansen
Lecturers: Søren Lundbye-Christensen og Lasse Hjort Jakobsen
ECTS: 2,4
Time: May 3rd, 10th and 17th
Place: Niels Jernes Vej 14, room 3-119
City: 9220 Aalborg
Number of seats: 20
Deadline: April 12th 2022
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 3.000 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 four 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.
- Teacher: Lasse Hjort Kyneb Jakobsen
- Teacher: Søren Lundbye-Christensen