Values for total insulin secretion were highest in gestational diabetes mellitus, followed by the single value abnormality group, both significantly differing from the values of patients with normal oral glucose tolerance test results (P <.001 and P <.005, respectively).
We will still denote by the single valued duality mapping.
Highly significant differences of OCR-B, -ADP, -O and –F were obtained by statistical analysis of either the single values or as overall values of Pank2 +/+ versus Pank2 −/− mitochondria, expressed as z-scores (Fig. 2).
Given the degree of uncertainty in the regression parameters, it was reasonable to assume that the expected δDf at any geographic coordinate was better characterized as a distribution of potential values rather than as the single value given by the calibrated δDf isoscape.
We still denote the single valued duality mapping by.
The effect size obtained will be dominated by this single value, and any fluctuations in it will produce wildly varied results, which is an undesirable property.
We will first report the bivariate correlations among the dimensions, followed by the evaluation of single values across domains.
To express the curve by a single value, the area under the ROC curve (AUC) is calculated.
This type of data contrasts with growth measurements using cell culture, in which changes in the population are represented by single values (e.g., optical density, total cell number), or larger animal data in which changes in the growth (e.g., weight, height) can be assigned to an individual subject.
However, it is important to emphasise that root distribution is highly variable and may not be represented by single values, but by a range of values.
