Potential Outcomes Framework

The Potential Outcomes Framework is a formal statistical paradigm for causal inference that conceptualizes causality by defining the effect of a treatment as the difference between observed and counterfactual outcomes under well-specified assumptions, distinguishing it from associative or purely predictive models.

Publications

10.3K

Citations

138

Authors

Institutions

Publications per year

2017–2026

Variants

Rubin Causal Model

Parents

Causal Inference

Children

Average Treatment EffectsCausal EstimationCounterfactual OutcomesDifference-in-differencesDynamic Treatment RegimesGeneralized Causal InferenceIgnorability AssumptionNeyman-rubin ModelPotential OutcomesPrincipal Stratification

Publications

Causal Inference Using Potential Outcomes

Donald B. Rubin · Journal of the American Statistical Association · 2005 · 2.2K citations

Public Health, Biostatistics, Causal Inference +13

Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments

Jens Hainmueller, Daniel J. Hopkins, Teppei Yamamoto · Political Analysis · 2013 · 1.9K citations

Public Health, Decision Sciences, Political Science +16

For objective causal inference, design trumps analysis

Donald B. Rubin · The Annals of Applied Statistics · 2008 · 831 citations · Full text

Public Health, Biostatistics, Causal Inference +16

A Survey on Causal Inference

Liuyi Yao, Zhixuan Chu, Sheng Li et al. · ACM Transactions on Knowledge Discovery from Data · 2021 · 443 citations · Full text

Public Health, Economics, Advertising +11

Alternatives to the Randomized Controlled Trial

Stephen G. West, Naihua Duan, Willo Pequegnat et al. · American Journal of Public Health · 2008 · 399 citations · Full text

Public Health, Biostatistics, Health Sciences +17

1–5 of 66

Authors

138

DB
Donald B. Rubin
Harvard University, United States
6 publications · 3.6K citations
6
h-index
JM
Jeffrey M. Albert
Case Western Reserve University, United States
3 publications · 220 citations
3
h-index
TD
Tirthankar Dasgupta
Harvard University, United States
3 publications · 137 citations
3
h-index
PD
Peng Ding
University of California, Berkeley, United States
3 publications · 168 citations
3
h-index
AZ
Aidong Zhang
University at Buffalo, State University of New York, United States
2 publications · 467 citations
2
h-index

1–5 of 138

Institutions

1–8 of 95

Venues

arXiv (Cornell University)
Repository · 4 publications · 92 citations
4
h-index
Biometrics
4 publications · 293 citations
4
h-index
Journal of the Royal Statistical Society Series B (Statistical Methodology)
3 publications · 129 citations
3
h-index
Statistical Science
3 publications · 415 citations
3
h-index
American Journal of Epidemiology
AJE · 3 publications · 87 citations
3
h-index

1–5