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At a certain point in developmental time, the outcome of this process (i.e., the relative size of the toes) is a result of the evolved rates of change of the toe-size variable, achieved by a scaling of the relative speed of system dynamics of the toes.
In this case, no variable achieved significance.
Successive steps were conducted if the socioeconomic variable achieved marginal statistical significance (p < 0.1).
The results of successive steps were only reported here if the SES variable achieved marginal statistical significance (p < 0.10).
Variables were excluded at this stage (e.g. when a single variable achieved a fit which was not significantly inferior to the model which included a multi item structure. Finally, the remaining items were analyzed (using EQS) to determine Raykov's composite scale reliability, within each dimension.
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Multivariate modelling, using a stepwise binary building technique, was employed with predictive variables selected if their bivariate significance was p=0.1 to accommodate the possibility of variable achieving statistical significance once the confounding effect of another variable was controlled.
Accuracy of the approximate changes of the state variables achieved by sensitivity analysis is also discussed.
A full factorial 25 experimental design was applied, considering two response variables: achieved cycle number at fixed capacity cycling test (y1), and maximal observed coulombic efficiency (y2).
Although there are some extreme error peaks, the proposed Model B, Model C and Model D which exclude the estimation of both input variables achieved an acceptable level of prediction accuracy.
The accuracy of prediction might be affected if the optimal levels of input variables, achieved from several design points, end up with equal settings and different corresponding overall desirability.
On the COLON CANCER dataset, the wKIERA subset of variables achieved 88% accuracy with only 2.5% (50) of the total variables, whereas rank correlation coefficients achieved 82% with a size of 8.5% (171) (Fig. 4A).
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