Causal Effect Estimation: Basic Methodologies

Author:

Yao Liuyi,Chu Zhixuan,Li Yaliang,Gao Jing,Zhang Aidong,Li Sheng

Publisher

Springer International Publishing

Reference107 articles.

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3. A.M. Alaa, M. Weisz, M. van der Schaar, Deep coun-terfactual networks with propensity-dropout. CoRR abs/1706.05966 (2017). arXiv: 1706.05966. http://arxiv.org/abs/1706.05966

4. S. Athey, G. Imbens, Recursive partitioning for heterogeneous causal effects. Proc. Natl. Acad. Sci. 113(27), 7353–7360 (2016)

5. P.C. Austin, An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav. Res. 46(3), 399–424 (2011)

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