Machine Learning Methods for Confounding Control in Causal Inference

Corresponding author: lijiao, li.jiao@imicams.ac.cn

DOI: 10.12201/bmr.202203.00015

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  Abstract: In this study, we introduced the effects of confounders in causal inference in medical studies and the state-of-art confounder identification methods. Furthermore, we summarized the applications of machine learning methods for controlling confounders in causal inference. Lastly, we discussed the opportunities and challenges face by application of machine learning methods in controlling confounders.

  Key words: Machine learning; Causal inference; Confounding control

  Submit time: 25 March 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2022-02-20	bmr.202203.00015V1	Download

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