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The uncertainty of the analysis is evaluated by actually moving the sample in its undeformed and deformed states, qualifying both image acquisition and correlation steps.
Cost-effectiveness is influenced by the time horizon over which the analysis is evaluated.
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The covariates included in the analysis were evaluated using both forward and reverse stepwise methods.
In addition, the correlations (Pearson's R) between all input parameters and output metrics included in the analysis were evaluated to obtain overview of the model system.
Before the application of multivariate tests, assumptions of normality of the distributions of the independent variables considered in the analysis were evaluated; the indices of skewness and kurtosis ranged between 1 and -1.
The results of the analysis were evaluated to investigate whether the number of probes, density distribution, probe localization, sensitivity and aberration calling method had any effect on the overall performance of the platform.
The design of a screening profile with a battery of bioassays/biomarkers coupled with the chemical analysis is evaluated.
Firstly, the effectiveness of the nonlinear static analysis is evaluated by means of a comparison with a comprehensive set of 84 nonlinear dynamic analyses.
The exact performance analysis is evaluated in Section 3. Section 4 provides the asymptotic outage performance analysis and power allocation.
The vast number of protein spots detected in the 2D-DIGE analysis is evaluated statistically for their significant higher abundance in either muscle.
The accuracy of QIC analysis compared with conventional HCS analysis is evaluated in the following sections.
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