Kursusinformation

This course will cover epidemiological concepts like causal theory, confounding and other systematic errors, and interaction (effect modification) in details. The aim is to understand how and why the validity of results might be endangered. Focus will be on practical development of analytic strategy for examining and adjusting results of epidemiological studies and on performing multivariate data analyses. 

Statistical models covered will include linear, logistic and proportional hazard regression, and participants will learn to address model assumptions and control. Other types of modelling like Poisson, multinominal and spline regression will be presented.

The participants will gain hands-on experience in group work from provided datasets, developing analytic strategies, performing analyses and presenting the results. Analyses will be performed in standard statistical packages like SPSS, STATA, SAS or R depending on the requirement of participants (questionnaire will be sent out before the course).

Literature: Selected papers and book chapters.

Prerequisites: Skills corresponding to basic epidemiology and basic statistical courses.

Evaluation: Active participation and presentation from group work.

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.