Develops shadow variable identification and SIO estimation achieving asymptotic normality and local efficiency for mediation effects under nonignorable missing confounders.
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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
Introduces self-separated and self-connected missingness models for mediator and outcome missingness in mediation analysis, enabling identification via conditional independences or shadow variables and extending shadow variable theory.
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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.
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Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
Introduces self-separated and self-connected missingness models for mediator and outcome missingness in mediation analysis, enabling identification via conditional independences or shadow variables and extending shadow variable theory.