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Univariate and multivariate data analyses were performed with the obtained sorption parameters to identify the soil properties controlling Am sorption behaviour and to propose Kd (Am) prediction models.
We also focused on the importance of graphical visualization tools as a clue to understand the most common univariate and multivariate data analyses applied in metabolomics.
The box plot is likely the simplest statistical technique to detect outliers in both univariate and multivariate data sets that makes no assumptions about the data distribution model [23, 32].
The server uses univariate and multivariate data processing and follows a multi-step workflow to cluster data into different layouts.
Our new interactive XCMS Online platform integrates univariate and multivariate data processing, metabolite feature annotation, and metabolite identification.
Univariate and multivariate data analyses were performed using the Cox proportional hazards regression model to determine the prognostic value of eIF4E and integrin αvβ6 expression.
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We compared univariate and multivariate data-analytic strategies, but we relied on our multivariate results to elucidate the interaction of attentional and motor networks.
In univariate and multivariate analysis, data of some variables were grouped due to small numbers and/or to gain a better overview.
As far as depression scores is concerned, there was no association between patients' characteristics and depression levels, both in univariate and multivariate analysis (data not shown).
As a result, no clinicopathologic factor was found to be associated with skip metastasis using univariate and multivariate analysis (data not shown).
Presurvey independent variables were evaluated through 3 types of linear regression analysis: correlation (Table 4), univariate, and multivariate regression (data not shown).
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