Multiple regression analysis applying significant factors associated with GPVI-dimer expression in bivariate comparisons (Table 2 of manuscript).

Induruwa, Isuru; McKinney, Harriet; Kempster, Carly; Thomas, Patrick; Batista, Joana; Malcor, Jean-Daniel; Bonna, Arkadiusz; McGee, Joanne; Bumanlag-Amis, Elaine; Rehnstrom, Karola; Ashford, Sophie; Soejima, Kenji; Ouwehand, Willem; Farndale, Richard; Downes, Kate; Warburton, Elizabeth; Moroi, Masaaki; Jung, Stephanie

doi:10.1371/journal.pone.0262695.s003

pone.0262695.s003.docx (16.73 kB)

Multiple regression analysis applying significant factors associated with GPVI-dimer expression in bivariate comparisons (Table 2 of manuscript).

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posted on 2022-01-18, 18:33 authored by Isuru Induruwa, Harriet McKinney, Carly Kempster, Patrick Thomas, Joana Batista, Jean-Daniel Malcor, Arkadiusz Bonna, Joanne McGee, Elaine Bumanlag-Amis, Karola Rehnstrom, Sophie Ashford, Kenji Soejima, Willem Ouwehand, Richard Farndale, Kate Downes, Elizabeth Warburton, Masaaki Moroi, Stephanie Jung

There was no multicollinearity between any of the tested variables in this model. A higher CHA₂DS₂-VASc score was significantly associated with GPVI-dimer expression (P = 0.03). Model summary: Adjusted R² = 0.14, P = 0.001.

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Multiple regression analysis applying significant factors associated with GPVI-dimer expression in bivariate comparisons (Table 2 of manuscript).

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