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#artificial intelligence Preprint Oct 2026

A Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation

Longitudinal causal effect estimation is complicated by time-varying confounding and treatment-confounder feedback loops. Existing methods generally require data-specific nuisance-model fitting, and many are tailored to prespecified treatment sequences or prediction horizons, leading to time-consuming computation at de...

Wen-Xin Chen, Kyra Gan, Ming Lu et al. · 0 citations

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