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Updated: Jun 5, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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一个贝叶斯的等级模型,用于疾病映射,它解释了扩展和重尾潜伏效应

Victoire Michal1, Alexandra M Schmidt1, Laís Picinini Freitas2,3

  • 1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.

Statistical methods in medical research
|December 11, 2024
PubMed
概括

这项研究引入了疾病绘制的新统计模型,该模型可以识别异常高的疾病风险区域. 改进的模型改善了异常结果的检测,有助于公共卫生干预和数据的准确性.

关键词:
在BYM2模型中,寨卡病毒感染 寨卡病毒感染异常价值观是异常的 异常价值观的混合物 的混合物空间统计的空间统计.媒介性疾病 媒介性疾病是由载体传播的疾病.

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