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Daniel Manela and Linying Yang have been presenting their paper Testing Generalizability in Causal Inference at Uncertainty in Artificial Intelligence 2025. The paper provides a new method for assessing whether or not a dataset is transportable.
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Linying Yang has released a paper, Frugal, Flexible, Faithful: Causal Data Simulation via Frengression, which uses a generative method for simulating causal datasets. This builds on the frugal parameterization (Evans and Didelez, 2024) in various ways:
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Linying Yang has today shared a manuscript on Outcome-informed weighting for robust ATE estimation. The paper, inspired by Taufiq et al., 2023, augments the marginal ratio estimand in that paper in a manner analogous to augmented inverse probability weighting, securing doubly-robust properties.