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Define the least-squares estimatorˆτ OLS(x) =x⊤ ˆβOLS I from R-learner as ˆβOLS I = Σ−1 I ϕI with ϕI =n−1 I nX i=1 BiXi ˆRi · 1952

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Adaptive sample splitting for randomization tests

stat.ME · 2025-04-30 · conditional · novelty 7.0

AdaSplit adaptively divides a trial sample into estimation and testing folds, prioritizing units with uncertain treatment assignments for estimation, to boost the power of subgroup randomization tests.

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  • Adaptive sample splitting for randomization tests stat.ME · 2025-04-30 · conditional · none · ref 9

    AdaSplit adaptively divides a trial sample into estimation and testing folds, prioritizing units with uncertain treatment assignments for estimation, to boost the power of subgroup randomization tests.