DR-Fusion
A doubly robust fusion method for estimating conditional average treatment effects. It combines predictions from an outcome model and a treatment model, remaining consistent even when one of the models is misspecified.
Timeline (last 90 days)
The research team built three tools: AIPW-Fusion for estimating the ATE, and DR-Fusion and R-Fusion for estimating the CATE.
DR-Fusion adopts a doubly robust strategy, combining predictions from the outcome model and the treatment model, and remains consistent when one of the models is misspecified.
All Facts (2)
DR-Fusion adopts a doubly robust strategy, combining predictions from the outcome model and the treatment model, and remains consistent when one of the models is misspecified.
50%UnverifiedThe research team built three tools: AIPW-Fusion for estimating the ATE, and DR-Fusion and R-Fusion for estimating the CATE.
50%