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However, the change from a negative association in the bivariate model to a positive association in the multivariate analyses indicates that this effect may be an artifact from other variables entered into the model.
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Multivariate analyses indicated a better understanding among trial-experienced participants.
Multivariate analyses indicate that the association between legal status and visiting the homeland is robust.
Multivariate analyses indicated distinct gammarid assemblages a few meters distance from each other.
Multivariate analyses indicated substantial genetic overlap among the Grade 2 literacy variables.
Multivariate analyses indicate that field type and vegetation cover are the main factors associated to the presence of Pampas meadowlark.
Multivariate analyses indicate threats do not form distinct "syndromes" (clusters of threats) but rather a single "mega-syndrome" with high degrees of overlap between most threats.
Multivariate analyses indicated that community differences were present, with a number of annual and biennial plant species predominating on the farm without grass margins.
Univariate and multivariate analyses indicated that greater acute pain severity was significantly associated with greater age, female sex, greater rash severity, the presence of a prodrome, and primary involvement of non-trigeminal dermatomes.
Multivariate analyses indicated that PAX5A, WT1, and BRCA1 methylation independently predicted recurrence in pTaLG, PAX6, ATM, CHFR, and RB1 in pT1LG disease; PYCARD, in pT1HG disease; and PAX5A and RB1, in the overall series.
Multivariate analyses indicated significant differences in assemblage composition due to both patch size and in-patch location, and revealed that differences were due to small changes in the relative abundances of many taxa.
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CEO of Professional Science Editing for Scientists @ prosciediting.com