A survey of federated causal inference that asserts, without proof, asymptotic bias and variance results showing FedProx matches pooled analysis under heterogeneous survival data.
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Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
A survey of federated causal inference that asserts, without proof, asymptotic bias and variance results showing FedProx matches pooled analysis under heterogeneous survival data.