Causal inference

Student thesis: Master thesis (including HD thesis)

  • Christoffer Grebjerg
  • Søren Damgaard Nielsen
4. term, Mathematics, Master (Master Programme)
In this project theory about causal inference will be introduced. This includes the average causal effect, causality versus association, randomized experiments, standardization and inverse probability weighting (IP weighting). The concepts exchangeability, positivity, and consistency of observational studies will also be looked at, which are used for causal inference. Then there will be an introduction to how these models graphically can be represented and which properties that comes from it. Lastly a dataset will be used to estimate the average causal effect of quitting smoking on the differences in BMI.
Publication date22 Jun 2022
Number of pages85
ID: 471482816