Formal mode of statistical inference for causal effects
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The Achilles heel of survey methodology is its inability to escape the problems of selection that plague research in this field.
“The Achilles heel of the survey methodology is its inability to escape from the glaring problems of selection that plague research in this field (see Winship and Morgan 1999; Rubin 1990; Heckman et al. 1998).”
From The Mark of a Criminal Record (2003) · cites this paper as Rubin 1990
Cites
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436 · see citing works
Self-citationStatistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293 · see citing works
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
Rubin, D. B. (1980) · Journal of the American Statistical Association · doi:10.2307/2287653 · Cited by 1,368 · see citing works
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Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926 · see citing works
Pager, D. (2003) · American Journal of Sociology · doi:10.1086/374403 · Cited by 2,840 · see citing works
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791 · see citing works
Reducing intergroup prejudice and conflict using the media: A field experiment in Rwanda.
Paluck, E. L. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0011989 · Cited by 902 · see citing works
THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA
Winship, C., & Morgan, S. L. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.659 · Cited by 890 · see citing works
For objective causal inference, design trumps analysis
Rubin, D. B. (2008) · The Annals of Applied Statistics · doi:10.1214/08-aoas187 · Cited by 831 · see citing works
Self-citationOdds Ratios for Mediation Analysis for a Dichotomous Outcome
VanderWeele, T. J., & Vansteelandt, S. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq332 · Cited by 809 · see citing works
Little, R. J., & Rubin, D. B. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.121 · Cited by 721 · see citing works
Self-citationPartisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic
Gadarian, S. K., Goodman, S. W., & Pepinsky, T. B. (2021) · PLOS ONE · doi:10.1371/journal.pone.0249596 · Cited by 744 · see citing works
Moore, G. F., Evans, R. E., Hawkins, J., Littlecott, H., Melendez-Torres, G. J., Bonell, C., & Murphy, S. (2019) · Evaluation · doi:10.1177/1356389018803219 · Cited by 471 · see citing works
A New Criterion for Confounder Selection
VanderWeele, T. J., & Shpitser, I. (2011) · Biometrics · doi:10.1111/j.1541-0420.2011.01619.x · Cited by 434 · see citing works
Frank, K. A., Maroulis, S. J., Duong, M. Q., & Kelcey, B. M. (2013) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373713493129 · Cited by 406 · see citing works
Administrative Records Mask Racially Biased Policing
KNOX, D., LOWE, W., & MUMMOLO, J. (2020) · American Political Science Review · doi:10.1017/s0003055420000039 · Cited by 314 · see citing works
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
Kohavi, R., Tang, D., & Xu, Y. (2020) · doi:10.1017/9781108653985 · Cited by 297 · see citing works
On the definition of a confounder
VanderWeele, T. J., & Shpitser, I. (2013) · The Annals of Statistics · doi:10.1214/12-aos1058 · Cited by 268 · see citing works
“This assumption is sometimes referred to as SUTVA, the stable unit treatment value assumption [Rubin (1990)] or as a no-interference assumption [Cox (1958)].”
InfluentialAronow, P. M., & Samii, C. (2017) · The Annals of Applied Statistics · doi:10.1214/16-aoas1005 · Cited by 347 · see citing works
Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems
Kunkel, J., Donkers, T., Michael, L., Barbu, C.-M., & Ziegler, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300717 · Cited by 156 · see citing works
The Intervention Selection Bias: An Underrecognized Confound in Intervention Research.
Larzelere, R. E., Kuhn, B. R., & Johnson, B. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.2.289 · Cited by 144 · see citing works
Ananth, C. V., & VanderWeele, T. J. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr045 · Cited by 123 · see citing works
- Authors
- Rubin, D. B.
- Affiliations
- Harvard University (US)
- Corresponding author
- Rubin, Donald B.
- ORCID
- Rubin, Donald B.
- Venue
- Journal of Statistical Planning and Inference
- Publisher
- Elsevier BV
- Published
- 1990-07
- Volume
- 25
- Issue
- 3
- Pages
- 279-292
- ISSN
- 0378-3758 (ISSN-L)
- OpenAlex
- W1978125212
- Cited by
- 483
- References
- 3
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 20 · 2023: 17 · 2022: 23 · 2021: 24 · 2020: 55 · 2019: 31 · 2018: 16 · 2017: 27 · 2016: 23 · 2015: 23 · 2014: 23 · 2013: 27 · 2012: 24
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Statistical Planning and Inference (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- synthetic control method, treatment effect estimation, counterfactual prediction, nonparametric inference, average treatment effect, regret bounds, causal inference
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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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