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Multivariate analyses indicate that the association between legal status and visiting the homeland is robust.
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.
The results from the multivariate analyses indicate that BNF and yield parameters were more affected by location, cropping season and cultivar than by the transgene, herbicides, or weed-management strategy.
Univariate and multivariate analyses indicate that MTM streams are characterized by deeper maximum channel depths, smaller width-to-depth ratios, increased bedrock exposure along the streambed, and increased frequency of very fine silt and sand deposition relative to channels draining unmined catchments.
The multivariate analyses indicate high consistency in predicting suicide-associated comorbidities across racial-ethnic groups using MCOD data.
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Multivariate analyses indicated a better understanding among trial-experienced participants.
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 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.
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