Performance evaluation of propensity score methods for estimating average treatment effects with multi-level treatments
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Publication:5036569
DOI10.1080/02664763.2018.1523375OpenAlexW2893354484WikidataQ91635859 ScholiaQ91635859MaRDI QIDQ5036569
Chang Yu, Huiyun Wu, William D. Dupont, Tebeb Gebretsadik, Juan Ding, Hui Nian, Pingsheng Wu, Steve Brunwasser, Tina V. Hartert
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://europepmc.org/articles/pmc6609155
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Cites Work
- The central role of the propensity score in observational studies for causal effects
- The role of the propensity score in estimating dose-response functions
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Propensity score matching and subclassification in observational studies with multi‐level treatments
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