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Multivariate analyses show that particular networks are associated with better health status both in the US and in Mexico.
Analytical results from multivariate analyses show that biotechnology development is fairly more industry specific than firm specific.
Multivariate analyses show that the composition of pollen samples collected within the Mediterranean maquis may be strongly influenced by adjacent land covers such as conifer woodland or open vegetation.
Multivariate analyses show that reduction in point forms do not correlate with distance-to-source but are more consistent with the model of the cyclical resharpening and replacement of points.
Multivariate analyses show that higher income was the only significant sociodemographic factor; it was associated with more medical visits (beta=0.44, P<.01).
Multivariate analyses show that higher mean IMT values are associated with increasing age (p < 0.0001), male gender (p = 0.0002), higher systolic blood pressure (BP; p = 0.0008), higher body mass index (BMI; p = 0.0005), and lower intake of zinc (p = 0.0001).
Similar(43)
Multivariate analyses showed age-related changes in relatively similar brain regions to the respective univariate analyses but appeared more limited.
A series of multivariate analyses showed that the patient group performed worse than controls on all the cognitive tasks.
Multivariate analyses showed superior prognostic prediction performance using this classification system compared with clinical criteria and Gleason scores.
Univariate and multivariate analyses showed that the structural-retention harvesting influenced the abundance of most families and trophic assemblages.
Multivariate analyses showed that lizards preferentially used forested areas with scrub while they avoided open herbaceous areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com