Graduate Programme in Public Health
Estimation of the causal effects in an observational study is a risky business. In an observational study, an exposure/treatment can be classified as either fixed or time-varying. An exposure/treatment is classified as fixed if the exposure does not change over time (for example a one-dose vaccine or a surgical intervention). Any exposure/treatment that is not fixed is classified as time-varying (for example a drug whose dose is readjusted according to the patient’s clinical response). In the absence of confounding or model misspecification, conventional methods to adjust for confounding variables (such as stratification, matching, and/or regression) deliver consistent estimators of the causal effect of a fixed exposure. In contrast, when interest focuses on the causal effect of a time-varying exposure, even when confounding and model misspecification are both absent, conventional analytic methods may be biased and result in estimates of effect that may fail to have a causal interpretation.
Day 2: A crash course on Stata programming language that required for the g-methods
Day 3: Introduction to potential outcome frame
Day 4: An introduction to inverse probability of treatment weighting (IPTW) of marginal structural models (MSMs)
Day 5: An introduction to the g-computation algorithm formula (the “g-formula”)
After the participation in the course, the participants should be able to:
Comprehending potential outcome framework and average causal effect in a observational study
Comprehending concept of at least two types of the g-methods
Implementing the two types of the g-methods for fixed exposures in Stata
Facilitating the further studies on g- methods for time-varying exposures
Knowledge on directed acyclic graph (DAG) is a requited.
Basic knowledge on epidemiological concept of selection bias, confounding bias, and information bias
Knowledge on logistic regression is a requited.
Stata will be used during the whole process.
Course credit: 2,5 ECTS
Course leader: Associate Professor Chunsen Wu
Max number of participants: 20 PhD students
The course is free of charge for PhD students enrolled in the Faculty of Health Sciences at the University of Southern Denmark. for other PhD students enrollede in universities that have joined the "Open market agreement", the fee is DKK 800,-.
For other participants there is a course fee of DKK 6800,-