Robust estimation of heterogeneous treatment effects: an algorithm-based approach-Reference-Cited by-同舟云学术

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Robust estimation of heterogeneous treatment effects: an algorithm-based approach

Published:2021-09-14 Issue: Volume: Page:1-18
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Li Ruohong¹²,Wang Honglang³^ORCID,Zhao Yi¹²^ORCID,Su Jing¹^ORCID,Tu Wanzhu¹²^ORCID

Affiliation:

1. Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA

2. Fairbanks School of Public Health, Indianapolis, Indiana, USA

3. Department of Mathematical Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, USA

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.1974883

Reference43 articles.

1. The “All of Us” Research Program

2. Recursive partitioning for heterogeneous causal effects

3. Generalized random forests

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