Matching With Multiple Control Groups With Adjustment for Group Differences

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Misunderstandings between experimentalists and observationalists about causal inference (2008, background): “including curriculum reform and expanding teacher training (Stuart and Rubin, 2007).”
Improving propensity score weighting using machine learning (2010, methodology): “In our simulations, the outcome Y is fully determined by the observed covariates Wi and the treatment A, which is not what we normally expect to see in practice but is a common strategy for assessing bias in propensity score settings [34, 35].”