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This is a Quantitative Study study.

October 16, 2025Open Access

Enhancing External Validity of Experiments with Ongoing Sampling

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Proposed framework improves sample representativeness in A/B tests, highlighting real-world applicability.

Novel framework developed enhances the external validity of experiments by addressing sample representativeness.
Our method shows improved generalizability of experimental results across different durations, ensuring decision accuracy.
Utilizing survival analysis, the approach identifies sampling stages and reduces implementation costs effectively.
Validation includes real-world and synthetic experiments, alongside the application of the method in 600 A/B tests.

Wang et al. (2025) studied this question.

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