使用分布式观测数据进行治疗效果估计的联合目标试验模拟

Haoyang Li1, Chengxi Zang1, Zhenxing Xu1

  • 1Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

概括

基于联合学习的目标试验模拟 (FL-TTE) 能够在分布式数据集中进行隐私保护的治疗效果估计. 这种方法克服了数据共享障碍,提高了概括性,减少了现实世界的证据研究中的偏见.

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