関連する実験動画

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

15.8K

共通症例の数が不明であるため,残留相関を持つ二変数数データに対する関節疾患マッピング

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

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

Biometrics
|September 1, 2025
PubMed
まとめ

新しいビバリアート-ポアソン共有コンポーネントモデル (BP-SCM) は,一般的な症例を考慮することで,相関する疾患数を正確に分析します. これは,ケースが重なり合うときにバイアスを示すポアソン共有コンポーネントモデル (P-SCM) を改善します.

キーワード:
ベイジアン枠組みビバリアート-ポッソン分布共有コンポーネントの空間モデル

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