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Updated: Sep 9, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

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由于未知数量的常见病例而导致的残余相关性,对双变数数据的关节疾病映射

Edouard Chatignoux1, Zoé Uhry1,2, Laurent Remontet2,3

  • 1Sante publique France, Saint-Maurice 94415, France.

Biometrics
|September 1, 2025
PubMed
概括

一个新的Bivariate-Poisson共享组件模型 (BP-SCM) 通过计算常见病例来准确分析相关疾病数量. 这改进了Poisson共享组件模型 (P-SCM),该模型在案例重叠时显示偏差.

关键词:
贝叶斯框架双变量-波桑分布共享组件空间模型

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