Application of functional regression in biomechanical assessment of neck disability: Selection of clinically relevant variables.

PLoS One · 2026 · PMC12919803 · PMID 41712652

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highly significantno p-value reported

As reported in the last row of Table 4 , this bFPCA model—with 11 optimal components—delivered the most favorable metrics of all models evaluated: AIC = 319, BIC = 345, r = 0.677, and a highly significant p -value of 0.002.

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