Measurement error in latent confounders produces biased ATE estimates and miscalibrated intervals under conventional adjustment; a Bayesian joint model of measurement, treatment, and outcome is proposed to correct it.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Proposes possibility space, timing computation, and causal factum as a new framework for data-driven trajectory discovery and counterfactual timing deduction on EHR data from 3,276 breast cancer patients.
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Measurement Induced Confounding
Measurement error in latent confounders produces biased ATE estimates and miscalibrated intervals under conventional adjustment; a Bayesian joint model of measurement, treatment, and outcome is proposed to correct it.
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To Use AI as Dice of Possibilities with Timing Computation
Proposes possibility space, timing computation, and causal factum as a new framework for data-driven trajectory discovery and counterfactual timing deduction on EHR data from 3,276 breast cancer patients.