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Causal Responder Detection
June 26, 2024, 4:49 a.m. | Tzviel Frostig, Oshri Machluf, Amitay Kamber, Elad Berkman, Raviv Pryluk
stat.ML updates on arXiv.org arxiv.org
Abstract: We introduce the causal responders detection (CARD), a novel method for responder analysis that identifies treated subjects who significantly respond to a treatment. Leveraging recent advances in conformal prediction, CARD employs machine learning techniques to accurately identify responders while controlling the false discovery rate in finite sample sizes. Additionally, we incorporate a propensity score adjustment to mitigate bias arising from non-random treatment allocation, enhancing the robustness of our method in observational settings. Simulation studies demonstrate …
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