Webinar

This webinar will introduce clinicians and researchers to the foundations of exchangeability and causal inference methods for measured confounding. This session revisits the exchangeability assumption in the context of respiratory health research and introduces two classical approaches for restoring exchangeability when confounders are measured: inverse probability of treatment weighting (IPTW) and g-computation. The first half covers the theory behind each method, including how propensity scores are constructed and how standardization works. The second half is a hands-on practical session in R, where participants apply these methods to a worked example. Prior experience with R is encouraged but not required.

Participants will receive installation instructions and a list of required R packages one week before the session.