A data-pooling framework for treatment selection in online experiments that claims to beat per-experiment estimation when the number of experiments is large.
Management Science 67(5):2964--2984
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Synthesizing Evidence: Data-Pooling as a Tool for Treatment Selection in Online Experiments
A data-pooling framework for treatment selection in online experiments that claims to beat per-experiment estimation when the number of experiments is large.