The school starts on Wednesday July 8th  at 9:30 am, and ends on Friday July 17th by 1pm.

Format (subject to possible slight adjustments)

Mornings: 9:30-12:30 lectures  (no lectures on Saturday ans Sunday)

Afternoons: 2-5pm supervised tutorials as well as individual and team work.

Poster session: the poster session will be on Thursday July 9 , 5:30-8:30 pm . All participants may present their research (just inform us, for better organization). A welcome cocktail will be offered during the poster session. 

A preliminary schedule is:

  • Introduction, potential outcomes, basic counterfactual model
  • Horvitz-Thompson, standardisation, and double robust estimator of mean causal effect, asymptotics, semiparametric
  • Other methods: standardisation, matching, likelihood, marginal models
  • Graphical models (undirected, directed, mixed)
  • Causal graphs, nonparametric structural equations, interventions, SWIGS, adjustment sets, special cases(mediation, longitudinal studies, and/or linear models)
  • Instrumental variable regression, proximal inference
  • Causal discovery (faithfulness, Markov equivalence, testing methods

We provide full lecture notes to the course.