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Design-based theory for covariate adjustment in generalized pairwise comparisons
Generalized pairwise comparisons summarize treatment effects in randomized experiments with ordinal, multivariate, or prioritized outcomes. We study optimal covariate adjustment under complete randomization, with potential outcomes and covariates fixed and treatment assignment as the sole source of
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