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cs.LG2023★ 1 cited
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
Serena Wang, Stephen Bates, P. M. Aronow +1
From the social sciences to machine learning, it has been well documented that metrics to be optimized are not always aligned with social welfare. In healthcare, Dranove et al. (20…
stat.ME2023
Fast computation of exact confidence intervals for randomized experiments with binary outcomes
P. M. Aronow, Haoge Chang, Patrick Lopatto
Given a randomized experiment with binary outcomes, exact confidence intervals for the average causal effect of the treatment can be computed through a series of permutation tests.…