Annual meeting: Statistical Society of Canada June 3rd, 2018

Causal Questions and Principled Answers: a Guide Through the Landscape for Practising Statisticians

Dear Participants to the causal inference course at the annual meeting of SSC. Here, you find the materials for the course, which consists of four sessions:

Session 1:

Introduction and causal estimands.

Session 2:

Estimation and inference under no unmeasured confounding: outcome regression, matching and stratification.

Session 3:

Inverse probability weighting and doubly robust estimation.

Session 4:

Instrumental variables.

Below you will find the following files to each session:

  • slides of the lectures
  • instructions for the practical sessions
  • a simulated and a real dataset which we will use
  • code that facilitates performing some of the analyses