Under positivity alone, the observational and interventional supports of an outcome variable coincide, enabling confounder-free causal inference on support-based estimands in N=1 settings.
Journal of Epidemiology & Community Health , volume=
3 Pith papers cite this work. Polarity classification is still indexing.
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PEQ-Net uses policy-aware reparameterization of ICE Q-functions and kernel mean embeddings in a shared encoder, followed by LTMLE, to jointly estimate multiple policies while constraining second-order bias for lower variance.
Upstream differential measurement error in pulse oximetry can be formalized as testable violations of information bias, representativeness, equality of opportunity, and outcome disparity, which compound into racial treatment and ventilation gaps.
citing papers explorer
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Causal Inference for Case Studies in Behavioral Health
Under positivity alone, the observational and interventional supports of an outcome variable coincide, enabling confounder-free causal inference on support-based estimands in N=1 settings.
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Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
PEQ-Net uses policy-aware reparameterization of ICE Q-functions and kernel mean embeddings in a shared encoder, followed by LTMLE, to jointly estimate multiple policies while constraining second-order bias for lower variance.
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Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
Upstream differential measurement error in pulse oximetry can be formalized as testable violations of information bias, representativeness, equality of opportunity, and outcome disparity, which compound into racial treatment and ventilation gaps.