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Updated: Jun 28, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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在患者子组之间共享信息,从稀疏的治疗网络中得出结论

Theodoros Evrenoglou1, Silvia Metelli1, Johannes-Schneider Thomas2

  • 1Center of Research in Epidemiology and Statistics (CRESS-U1153), Université Paris Cité, INSERM, Paris, France.

Biometrical journal. Biometrische Zeitschrift
|April 18, 2024
PubMed
概括

本研究引入了贝叶斯框架,以改善稀疏网络的网络元分析 (NMA). 通过从密集的网络中借取信息,在数据有限的情况下,它可以产生更精确和更强大的治疗效果估计.

关键词:
有关信息的先行者.混合治疗比较 混合治疗比较信息共享 信息共享信息共享稀少的数据稀少的数据.

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