A framework defining new causal estimands for adaptive designs and using TMLE to enable online selection among designs, including surrogate-guided ones, while handling data dependence.
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PROXIMA scores proxy reliability via a composite of effect correlation, directional accuracy, and segment fragility, achieving 98.4% decision agreement with an oracle on two public datasets.
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An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
A framework defining new causal estimands for adaptive designs and using TMLE to enable online selection among designs, including surrogate-guided ones, while handling data dependence.
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PROXIMA: A Reliability Scoring Framework for Proxy Metrics in Online Controlled Experiments
PROXIMA scores proxy reliability via a composite of effect correlation, directional accuracy, and segment fragility, achieving 98.4% decision agreement with an oracle on two public datasets.