PEQ-Net jointly estimates multiple longitudinal treatment policies via a shared policy encoder and kernel mean embeddings to constrain second-order bias after LTMLE correction.
Biometrics , volume=
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
Introduces Bayesian Sensitivity Value (BSV) for causal inference sensitivity analysis based on evidence-derived priors and Monte Carlo estimation, applied to diabetes treatment effects.
Introduces a regularized estimator achieving optimal MSE rates under a new relative balancedness condition while providing safety guarantees that match independent learning when tasks are unrelated.
Data equity, prediction equity, and decision equity are distinct statistical requirements that need separate evaluations to address how racial biases in pulse oximetry measurements lead to treatment disparities.
citing papers explorer
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Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
PEQ-Net jointly estimates multiple longitudinal treatment policies via a shared policy encoder and kernel mean embeddings to constrain second-order bias after LTMLE correction.
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Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
Introduces Bayesian Sensitivity Value (BSV) for causal inference sensitivity analysis based on evidence-derived priors and Monte Carlo estimation, applied to diabetes treatment effects.
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Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness and Safety
Introduces a regularized estimator achieving optimal MSE rates under a new relative balancedness condition while providing safety guarantees that match independent learning when tasks are unrelated.
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Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Data equity, prediction equity, and decision equity are distinct statistical requirements that need separate evaluations to address how racial biases in pulse oximetry measurements lead to treatment disparities.