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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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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stat.ME 2years
2024 2verdicts
UNVERDICTED 2representative citing papers
Develops shadow variable identification and SIO estimation achieving asymptotic normality and local efficiency for mediation effects under nonignorable missing confounders.
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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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Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders
Develops shadow variable identification and SIO estimation achieving asymptotic normality and local efficiency for mediation effects under nonignorable missing confounders.