/RealWorld-DoublyRobustML

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

Primary LanguageR

RealWorld-DoublyRobustML

Code for paper "Combining Doubly Robust Methods and Machine Learning for Estimating Average Treatment Effects for Observational Real-world Data". (Link to paper)

Code

The main function is the script_sim.R under the main directory. Other wrapper functions are in the myfuns folder. script_sim.R calls functions in the myfuns folder.

Reference

Please cite our paper if you find this repository useful.

@misc{tan2024combining,
      title={Combining Doubly Robust Methods and Machine Learning for Estimating Average Treatment Effects for Observational Real-world Data}, 
      author={Xiaoqing Tan and Shu Yang and Wenyu Ye and Douglas E. Faries and Ilya Lipkovich and Zbigniew Kadziola},
      year={2024},
      eprint={2204.10969},
      archivePrefix={arXiv},
      primaryClass={stat.ME}
}