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Updated: Sep 12, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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在疾病绘图的背景下,与离散空间数据进行先前平滑

Garazi Retegui1,2, Alan E Gelfand3, Jaione Etxeberria1,2

  • 1Department of Statistics, Computer Science and Mathematics, Public University of Navarre (UPNA), Arrosadia Campus, Pamplona, Spain.

Statistical methods in medical research
|August 8, 2025
PubMed
概括

这项研究量化了疾病映射模型中的空间平滑. 它比较了七个空间先验,提供了衡量和校准平滑效应的指标,以便更好地分析健康事件.

关键词:
有条件的自回归先验.经验上的平滑.一个层次化的贝叶斯体系.基于邻居的平滑方式利率风险率的风险是什么理论上的光滑.

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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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