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On Response-Adaptive Targeting Strategies for Multi-Treatment Experiments

Redouane Yagouti · Rémy Degenne · Emilie Kaufmann首次提交 2026-06-16 · 修订 2026-06-16 · v1arXiv预印本

多处理实验中的响应自适应目标分配策略AI 解读

Response-adaptive randomization (RAR) in clinical trials aims to improve ethical and statistical efficiency by dynamically allocating patients to treatments based on observed outcomes. While RAR based on a target optimal allocation have been extensively studied for two-arms settings, their extension to multi-treatment experiments ( $K \geq 2$ ) remains theoretically fragmented, with most existing methods focusing on specific algorithms or restricted target allocations. In this…Response-adaptive randomization (RAR) in clinical trials aims to improve ethical and statistical efficiency by dynamically allocating patients to treatments based on observed outcomes. While RAR based on a target optimal allocation have been extensively studied for two-arms settings, their extension to multi-treatment experiments ($K \geq 2$) remains theoretically fragmented, with most existing methods focusing on specific algorithms or restricted target allocations. In this…

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关联记录被引 0 次 ↗OpenAlex · 核验 2026-10-01

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