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arXiv Statistics ML By Borna Bateni, Yubai Yuan, Qi Xu, Annie Qu

Distributional Treatment Effect Transportability across Heterogeneous Sites

Read the original on arXiv Statistics ML →

The paper investigates how to transport the full distribution of treatment effects from a source site to a target site in a cross‑site, one‑armed design where only control units are observed in the target. It proposes learning a transformation between sites via optimal transport on control samples, then applying this transformation to the source treated sample to generate a synthetic target treated distribution. The authors prove convergence of this synthetic distribution to the true target distribution and validate the method with simulations and a patient‑derived xenograft data application.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Statistics ML.

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