Causal Inference Using Potential Outcomes: Design, Modeling, Decisions
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Journal of the American Statistical Association
Abstract
Comprehensive overview of the potential outcomes framework for causal inference. Covers experimental design, observational studies, propensity scores, and the fundamental problem of causal inference.
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@article{rubin2005causal,
title = {Causal Inference Using Potential Outcomes: Design, Modeling, Decisions},
author = {Donald B. Rubin},
year = {2005},
journal = {Journal of the American Statistical Association},
url = {https://doi.org/10.1198/016214504000001880},
abstract = {Comprehensive overview of the potential outcomes framework for causal inference. Covers experimental design, observational studies, propensity scores, and the fundamental problem of causal inference.}
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