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Updated: May 23, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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D3MI:一种高效,强大的联合归算方法,用于减少分布式不完整数据分析中的偏差,通过考虑网站内部的相关性和网站之间的异质性

Yi Lian1, Xiaoqian Jiang2, Qi Long1

  • 1Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.

medRxiv : the preprint server for health sciences
|May 19, 2025
PubMed
概括

我们开发了一种新的方法,即基于分布式混合模型的多重推断 (Distributed Mixed Model-based Multiple Imputation,D3MI),用于在多个机构的电子健康记录 (EHR) 中准确处理缺失的数据,同时保持患者的隐私.

关键词:
分布式学习是一种分布式学习.与相关数据相关联的数据.一般化的线性混合模型.不同质的数据是不同的数据.缺失的数据 缺失的数据

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

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Distributions to Estimate Population Parameter

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