Existing Biomarker Methods
Group-based trajectory models cluster mean biomarker dynamics without characterizing biomarker coordination within or between groups. PCA decomposes covariance but usually treats eigenmodes as tools for dimensionality reduction. LDA is int…
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Group-based trajectory models cluster mean biomarker dynamics without characterizing biomarker coordination within or between groups. PCA decomposes covariance but usually treats eigenmodes as tools for dimensionality reduction. LDA is interpreted as extracting mean-shift signal while treating covariance perturbation as within-class noise. Existing methods are framed as partial views of the same covariance geometry.