SERtalks – Boston

Jennifer Ahern
University of California, Berkeley


Laura Balzer
University of Massachusetts-Amherst



“Estimation and interpretation: introduction to parametric and semi-parametric estimators for causal inference”

September 28, 2018
12:00 – 4:00 pm

This event will be held onsite at Boston University. You may also register to attend via live web conference.

Boston University SPH


Hiebert Lounge
Boston University School of Medicine
72 East Concord Street, Boston


An email will be sent to registered attendees, ahead of the event, for login details.

This workshop will introduce participants to a “causal roadmap” approach to epidemiologic questions: 1) clear statement of the scientific question, 2) definition of the causal model and parameter of interest, 3) assessment of identifiability – that is, linking the causal effect to a parameter estimable from the observed data distribution, 4) choice and implementation of estimators including parametric and semi-parametric, and 5) interpretation of findings. The focus will be on estimation with a simple substitution estimator (parametric g-computation), inverse probability of treatment weighting (IPTW), and targeted maximum likelihood estimation (TMLE) with Super Learner. Participants will work through the roadmap using an applied example and implement these estimators in R during the workshop session.