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.
Taking an expectation of both sides of the model conditional onXi, µ(Xi) = E[Yi|Xi] =µ0(Xi) +e(Xi)τ(Xi)
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Adaptive sample splitting for randomization tests
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.