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  • title: Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation
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            Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation
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            Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation

            Dec 2, 2022

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            It is notoriously difficult to draw conclusions about the effects of medical interventions from observational data, where statistical confounding is rampant. An important example is "confounding by severity" in which sicker patients receive more aggressive intervention, leading to a misleading positive correlation between stronger intervention and worsening outcome. This scenario is quite generally applicable because it represents negative feedback control, where some control mechanism responds…

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            NeurIPS 2022

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