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We discuss why stress tensor variability can be sufficiently and appropriately characterised by its distinct tensor components in a multivariate manner, and demonstrate that the proposed statistical model gives consistent results under coordinate system transformation.
These axes are correlated with genetic, environmental and unknown sub-clinical measures in a multivariate manner, and may have high false positive rates in relatively small samples.
Moreover, many climate and biotic factors could change in a multivariate manner and thereby create no-analog environments (Jackson and Overpeck 2000; Ackerly 2003; Williams and Jackson 2007), which undoubtedly will cause selection on multiple traits.
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Datasets were organized in a multivariate manner, having SNPs as columns and animals as rows.
The rate of EV aggravation at 1 year after B-RTO was estimated in a univariate manner with Student's t test and the χ test using GraphPad Prism version 5.02 software (GraphPad Software, San Diego, CA) and in a multivariate manner using logistic regression with SAS for Windows version 9.3 (SAS Institute, Cary, NC).
In order to improve resolution, an orthogonal experimental design was employed, altering the concentration of background electrolyte, organic modifier, pH, capillary temperature and applied voltage in a multivariate manner.
This involves a process of strategically selecting appropriate physical based parameters that can be analyzed in a multivariate manner.
In Table 3 these relationships are examined in a multivariate manner using Cox proportional hazards models.
Those characteristics that were significant or showed a trend in the univariate analysis (p ≤ 0.060) were additionally analyzed in a multivariate manner with the Cox hazards proportional model.
b RR, relative risk c 95% confidence interval a The partially nonparametric regression model of Cox (1972) was used to evaluate the predictive power of vatious combinations of prognosticators in a multivariate manner.
Statistical analysis was performed using Matlab version 7.9.0.529 (R2009b) (The MathWorks Inc .. To assess the discriminative potential of metabolite subsets in a multivariate manner, we applied a wrapper-based feature subset selection approach resorting to six different heuristic optimization techniques implemented in the EvA2 framework and six classification algorithms from the WEKA package (20).
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