Presenter: Beth Ann Griffin, RAND Corporation
Date and Time: Tuesday, October 13, 2015, 12:00 p.m. - 1:30 p.m. Eastern time
Sponsor: Mental Health Statistics Section
Registration Deadline: Friday, October 9, at 12:00 p.m. Eastern time
Description:
This webinar will provide attendees with guidance on how to implement propensity score weighting for causal inference problems with multiple (more than 2) treatments or exposure groups. Estimation of causal effects is a primary activity of many research studies. Examples include testing which state-level health policies have the biggest impact on health outcomes or determining which treatment programs (out of many) have the greatest effectiveness on substance use outcomes. Controlled experiments are the gold standard for estimating such effects. However, experiments are often infeasible, forcing analysts to rely on observational data in which treatment assignments are out of the control of the researchers. This webinar will provide step-by-step guidelines for researchers who want to implement propensity score weighting for studies involving more than 2 treatment or exposure groups. The webinar will provide a brief introduction to causal modeling using the potential outcomes framework and the use of propensity score weighting to estimate causal effects from observational data with more than 2 treatments. Then, it will present step-by-step guidelines on how to estimate and perform diagnostic checks of the estimated weights for testing the relative effectiveness of two or more interventions and how to estimate relative causal treatment effects. Code to implement the analyses in R, SAS, and Stata is available.
Registration Fees:
Member of the Mental Health Statistics Section: $60
ASA Member: $90
Nonmember: $110
Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).
Register at the ASA Education Website: