In small-budget RCTs where significance tests decide scale-up, optimal pilot sampling shifts from representative to single homogeneous subpopulation as budget shrinks.
Adaptive Treatment Assignment in Experiments for Policy Choice
3 Pith papers cite this work. Polarity classification is still indexing.
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Develops ENDS procedure using answer-wise acceptance sets, restricted GLR stopping, and answer-pitfall decomposition for ranking-and-selection with non-unique answers and non-answerable estimates.
Framework using potential outcomes and within-treatment regression models to estimate plot-level SOC sequestration potentials from covariates and approximate optimal policies, demonstrated on California rangeland data where targeting low-baseline-SOC plots improves outcomes over uniform policies.
citing papers explorer
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When Representative Samples Produce Worse Outcomes: Scale-up Decisions and Testing in Small-Budget RCTs
In small-budget RCTs where significance tests decide scale-up, optimal pilot sampling shifts from representative to single homogeneous subpopulation as budget shrinks.
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Ranking-and-Selection with Multiple Correct Answers and Non-Answerable Estimates
Develops ENDS procedure using answer-wise acceptance sets, restricted GLR stopping, and answer-pitfall decomposition for ranking-and-selection with non-unique answers and non-answerable estimates.