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

Onsite:

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

Online:

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.