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We then tested our hypothesis that a robust predictive model can be generated by simultaneously taking into consideration multiple variables as well as possible interactions between them.
Conversely, because we matched on multiple variables as well as the propensity score, another statistical limitation relates to possible overmatching, as discussed by Rothman and Greenland [ 35].
The statistical significance of differences between experimental groups was determined using the ANOVA test of variance in cases of multiple variables as well as the unpaired two-tailed sample t-test (using Prisma 5 program, Prism - Graphpad, La Jolla, CA, USA).
Therefore, it is necessary to consider the HRTF data involving multiple variables as multi-way data structures [33] and a multi-linear extension for modeling a HRTF tensor using a small set of anthropometric measurements.
Our new MRI criterion highlights the possibility of using simpler, easier criteria that are not based on multiple variables, as in the inclusion criteria for the SHAPE trial.
While many advocate the use of permutation testing when one variable is analysed, there is a range of possible methods when a model includes multiple variables, as we used here.
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Performing PLS analysis identified the most substantial PLS factors that simultaneously explain both the variation of multiple response variables and the variation of multiple explanatory variables as much as possible.
The fundamental idea of PCA is to reduce the dimensionality of a data set consisting of multiple variables, while retaining as much as possible the existing variation in the data set.
To analyze the predictors, two regression analyses were conducted considering multiple variables, such as depression, as covariates.
The StO2 upslope, on the other hand, has no single physiological meaning as it is the product of multiple variables, such as the baseline StO2, minimum StO2, and rise time.
As several variables were related, tests for multiple variables such as that of the Bonferroni Holm procedure were not applied to the data presented.
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