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This is a Human Clinical Trial study.

Curtailed procedures for binomial random-sized subset selection

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Expected sample sizes reduced significantly while preserving accuracy levels using a stopping rule.
Simulation studies showed substantial efficiency gains with the proposed curtailment over traditional methods.
Randomized subset selection procedures were adapted to include early stopping criteria for optimally managing treatment comparisons.
This approach supports better resource allocation in clinical trials, enhancing patient safety and data integrity.

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Innovative curtailment improves sampling efficiency in binomial trials, suggesting enhanced design in biopharmaceutical research.

Zhang et al. (2025) studied this question.

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