Proposes subsampling and reweighting for scalable, consistent counterfactual risk estimation in rare-event longitudinal survival data.
External Validity: From Do-Calculus to Transportability Across Populations , volume=
3 Pith papers cite this work. Polarity classification is still indexing.
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The paper introduces a three-pillar framework comprising eight modular analyses for sensitivity analysis of borrowing assumptions in externally controlled trials, illustrated with a simulated Bayesian hybrid evidence synthesis example.
Causality resolves trade-offs in trustworthy AI by treating them as invariance conflicts under different data-generating process changes.
citing papers explorer
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Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
Proposes subsampling and reweighting for scalable, consistent counterfactual risk estimation in rare-event longitudinal survival data.
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A Practical Framework for Sensitivity Analysis in Externally Controlled Trials: An Illustration with a Bayesian Hybrid Evidence Synthesis Case Study
The paper introduces a three-pillar framework comprising eight modular analyses for sensitivity analysis of borrowing assumptions in externally controlled trials, illustrated with a simulated Bayesian hybrid evidence synthesis example.