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In animal models, a correlation between ET speed and VO2 was also established for adult and old C57BL/6J mice.
In addition to these models, a correlation between response to cytokines and serum levels of VEGF and fibronectin has also been suggested [ 26].
We used two methods to compare the human eye-fixation patterns with the predictions from the saliency models: a correlation method similar to that used in [ 28, 32] and a fixation- saliency method, similar to that used in [ 27, 47, 68].
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Based on the results from the validated model, a correlation for predicting the linear range of the TMFM is presented.
Several different independent variables were used to construct the model; a correlation matrix and basic statistics concerning these parameters' roles in the model are given in Table 1 and Table 2 respectively.
Prior to preparing the linear model, a correlation matrix was computed to examine any potential collinearity between the independent variables (as well as age as a potential confounder).
To control for collinearity in the model, a correlation matrix was created to examine the relationship between all of the covariates.
A consensus model by integrating the predictions of individual LLL models yielded a correlation coefficient r 2 of 0.712 for the test set containing 2896 compounds.
However, studies in rodent models show a correlation between LIDs and increased ERK activation [5], [6], [7].
As described in the Results section, combined genetic-metabolic models yield a correlation of approximately 0.5 between observed and in LOOV predicted response (cf. Table 1).
A multivariate logistic regression model demonstrated a correlation between anemia and serum total CO2 (p = 0.002), BUN (p = 0.04), and creatinine (p = 0.045) at 1 year post transplant.
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