Behind the Numbers In compiling our list, we measured five data points in the country's 200 largest Metropolitan Statistical Areas: unemployment, crime, income growth, the cost of living, and artistic and cultural opportunities.
Because each Eurogentec microarray yields two data points we thus measured four data points for each experiment.
We compared the sensitivity, specificity, accuracy, ROC area and F-measure for three data sets: data set 2 of 549 miRNAs, the data set of top-ranked 158 miRNAs, and the data set of 3 miRNAs (miR-126, miR-205 and miR-182) which are from the best rule from data set 1 (with the largest distance 0.7799).
Change in outcome measures across the three data collection points will be assessed using repeated measure analysis of variance.
Bivariate and multivariate statistical tests will be used to analyse differences between the control, intervention 1, and intervention 2 groups on the primary outcome measures across the three data collection points.
Two important parameters in hierarchical clustering are the similarity measure between two data points and the criteria for computing the inter-cluster similarity.
Thus, by this measure, the two data sets analyzed in this study are representative of "typical" clinical data sets, whereas the spike-in data sets are not.
For statistical analysis, the concentration dependence of the peak current was measured in four data sets.
When the pressure was reached, flow was stopped and the actual pressure and volume measured giving four data points.
However, the Mahalanobis distance is measured between two data points or two data sets in the space defined by relevant features [ 28].
