Teachers:
Professor Odd O. Aalen, Department of Biostatistics, IMB (course leader)
Postdoc Jon Michael Gran, Department of Biostatistics, IMB
Researcher Kjetil Røysland, Department of Biostatistics, IMB
Senior researcher Hein Stigum, Norwegian Institute of Public Health
Associate professor Theis Lange, University of Copenhagen
Monday 4. November
08.30-09.00: Registration. (Outside Lille Auditorium in Domus Medica)
09.00-11.00: What is causality? Some general concepts. Counterfactual and mechanistic causality. Speaker: Aalen.
11.15-12.15: Group discussion. (Aalen).
12.15-13.15: Lunch break
13.15-16.00: Introduction to causal graphs (DAGs). Speaker: Stigum.
Tuesday 5. November
08.30-12.00: Analyzing DAGs with examples and exercises. Speaker: Stigum.
12.00-13.00: Lunch break
13.00-14.00: Analyzing DAGs with examples and exercises cont. Speaker: Stigum.
14.15-16.00: Understanding direct and indirect effects. Speaker: Aalen.
Wednesday 6. November
08.30-12.00: Counterfactual causality, inverse probability weighting, marginal structural models. Speaker: Gran.
12.00-13.00: Lunch break
13.00-14.00: Group discussion. (Gran).
14.15-15.45: Counterfactual causality continued - including plenary discussion of exercise. (Gran).
Thursday 7. November
08.30-09.15: Seeing vs. doing. Front-door and back-door criteria. Speaker: Røysland.
09.30-10.30: Survival analysis – beyond the Cox model. Speaker: Aalen.
10.45-12.00: Local independence. Case study. Speaker: Røysland.
12.00-13.00: Lunch break
13.00-15.15: Direct and indirect effects in survival analysis. Speaker: Lange.
15.30-16.00: Overview of the course. Closure. (Aalen).
Course exam:
A take home exam will be handed out at the end of the course. This should be solved at home and then returned within a specified deadline.