Introduces the A2A metric to evaluate propensity score matching methods by constructing artificial tasks with known outcomes, reducing ATE errors up to 50% when combined with SMD.
Contemporary clinical trials47, 85–92 (2016) Improving Bias Correction Standards 17 A Algorithms Let xj be the jth row ofX
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Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes
Introduces the A2A metric to evaluate propensity score matching methods by constructing artificial tasks with known outcomes, reducing ATE errors up to 50% when combined with SMD.