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Updated: Jun 10, 2025

An R-Based Landscape Validation of a Competing Risk Model
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通过模型定向掩盖和多重推算来平衡推理完整性和披露风险

Bei Jiang1, Adrian E Raftery2, Russell J Steele3

  • 1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada.

Journal of the American Statistical Association
|October 11, 2024
PubMed
概括

一种使用数据增强和多次归因合成数据集 (DA-MI) 的新数据掩盖方法实现了0%的身份风险,同时保持了研究数据的实用性. 这种方法增强了政府资助的研究的数据共享,而不会损害参与者的隐私.

关键词:
数据增强数据增强披露控制 披露控制联合建模 联合建模罕见疾病是一种罕见的疾病.综合数据 综合数据

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