A weighted two-armed bandit test statistic is claimed to concentrate more under the null and less under the alternative than the classical z-test, improving power for detecting small treatment effects in A/B tests.
Doubly robust estimation in missing data and causal inference models
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Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
A weighted two-armed bandit test statistic is claimed to concentrate more under the null and less under the alternative than the classical z-test, improving power for detecting small treatment effects in A/B tests.