Schedule and Presentations 2021

Monday, August 23 – Thursday, August 26, Friday October 1

Monday, August 23

8:00-8:15 am (PDT)

 Welcome and Introduction Dan Mungas, Maria Glymour, Laura Gibbons, Elizabeth Rose Mayeda

8:15-10:30 am

 Causal Inference Methods Lectures – Day 1 Video Link

8:15-8:45 am

 Causality, counterfactuals, and estimating potential outcomes from regression models, defining the causal estimand with respect to a target population Maria Glymour

8:45-9:00 am

 Using inverse probability weighting to reweight to a target population Melinda Power

9:00-9:30 am

 G-computation methods Catherine Lesko

9:30-10:15 am

 Applied examples, e.g., weighting and gcomp Taylor Mobley, Eleanor Hayes-Larson, Kan Gianattasio

10:15-10:30 am

 Questions and Discussion Presenters and Group

11:30 am – 1:30 pm
Workgroup Organization

Tuesday, August 24

8:00-10:00 am

 Causal Inference Methods Lectures – Day 2 Video Link

8:00-8:30 am (PDT)

 Mediation and counterfactual estimands for direct and indirect effects Justina Avila-Rieger

8:30-9:00 am

 Bootstrapping and percent of variance explained calculation Elizabeth Rose Mayeda

9:00-9:15 am

 How does this relate to Baron-Kenny and other methods? Lindsay Kobayashi

9:15-10:00 am

 Non-linear mediation models and alternative estimation algorithms Ryan Andrews

11:00 am – 1:00 pm

Workgroup Meetings

Wednesday, August 25

9:00 am – 11:00 am (PDT)

Workgroup Meetings

Thursday, August 26

9:00 am – 11:00 am (PDT)

Workgroup Meetings

Friday, October 1

11:00 am – 2:00 pm (PDT)

Workgroup Reports and Wrap-up