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Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization
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Pearl, J. (2013) · Journal of Causal Inference · doi:10.1515/jci-2013-0003 · Cited by 132
“This indistinguishability, together with the fact that Z may be a strong predictor of X may lure investigators to condition on Z to obtain an unbiased estimate of d [24].”
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Eliason, M. (2011) · Journal of Population Economics · doi:10.1007/s00148-011-0394-4 · Cited by 136
Kang, J., & Schafer, J. L. (2008) · doi:10.48550/arxiv.0804.2958 · Cited by 138
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Metadata
- Authors
- Hirano, K., & Imbens, G. W.
- Affiliations
- University of Miami (US)
- University of California, Berkeley (US)
- Venue
- Health Services and Outcomes Research Methodology
- Published
- 2001-12
- Volume
- 2
- Issue
- 3-4
- Pages
- 259-278
- ISSN
- 1387-3741 (ISSN-L)
- 1572-9400
- 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
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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