Combining Doubly Robust Methods and Machine Learning for Estimating Average Treatment Effects for Observational Real-world Data

1 code implementation • 23 Apr 2022 • Xiaoqing Tan, Shu Yang, Wenyu Ye, Douglas E. Faries, Ilya Lipkovich, Zbigniew Kadziola

Recently, various doubly robust methods have been proposed for average treatment effect estimation by combining the treatment model and the outcome model via different vehicles, such as matching, weighting, and regression.

regression