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· 2013 · DOI 10.1111/mono.12038

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Principal Components Decomposition of Fraction of Variance Explained in High Dimensional Linear Models with Strong Correlation

stat.ME · 2026-06-02 · unverdicted · novelty 6.0

A PC-based decomposition of FVE into low- and high-dimensional components reduces bias when applying GWASH or LMM-REML to strongly correlated high-dimensional predictors.

General Microstructure Factor Analysis of Diffusion MRI in Gray-Matter Predicts Cognitive Scores

q-bio.QM · 2025-10-28 · unverdicted · novelty 4.0

PCA-derived global factor from gray-matter isotropic volume fraction in NODDI data correlates with specific cognitive scores in HCP Young Adult cohort.

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General Microstructure Factor Analysis of Diffusion MRI in Gray-Matter Predicts Cognitive Scores q-bio.QM · 2025-10-28 · unverdicted · none · ref 30
PCA-derived global factor from gray-matter isotropic volume fraction in NODDI data correlates with specific cognitive scores in HCP Young Adult cohort.

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