Cited by 1,039Advanced Causal Inference TechniquesStatistical Methods in Clinical TrialsMeta-analysis and systematic reviews

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Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

Hirano, Keisuke, Imbens, Guido W.·2001·Health Services and Outcomes Research Methodology

DOI 10.1023/a:1020371312283

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The central role of the propensity score in observational studies for causal effects
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Authors: Hirano, K., & Imbens, G. W.
Affiliations: University of Miami (US)
University of California, Berkeley (US)
ORCID: Hirano, Keisuke
Imbens, Guido W.
Venue: Health Services and Outcomes Research Methodology
Publisher: Springer Science and Business Media LLC
Published: 2001-12
Volume: 2
Issue: 3-4
Pages: 259-278
ISSN: 1387-3741 (ISSN-L)
1572-9400
DOI: 10.1023/a:1020371312283
OpenAlex: W2176874128
Cited by: 1,039
References: 29
Citations by year: 2026: 35 · 2025: 39 · 2024: 51 · 2023: 38 · 2022: 49 · 2021: 61 · 2020: 61 · 2019: 51 · 2018: 62 · 2017: 44 · 2016: 57 · 2015: 75 · 2014: 85 · 2013: 74 · 2012: 62
FWCI: 2.19
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Health Services and Outcomes Research Methodology (publishedVersion)
Funders: National Science Foundation
Topics: Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords: causal effect estimation, propensity score weighting, right heart catheterization, regression adjustment, feature selection, estimator stability

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Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

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