Sentence examples for setting the correlation between from inspiring English sources

Formally testing the possibility that depression and anxiety actually represent a single, general psychological distress, construct (i.e. by setting the correlation between the latent constructs to 1.0 resulted in a significantly poorer model than the single factor model (model not presented as a figure), χ2 (2) = 163.21, p <.001.

Figure A.1 in the Additional file  1 shows, for the first scenario, the correlations obtained between the event times, depending on ρ, the correlation of the underlying normal random variables: the relation is roughly linear and setting the parameter ρ can be considered almost equivalent to setting the correlation between CD and NCD times.

In a therapeutic setting, the correlation between methylation and mRNA/protein expression may become relevant, which is why we explored TCGA data.

For better visualization purpose, we set the correlation between x and itself to zero (the diagonal blocks).

For all queries of the data set, the correlation between composite array data and qPCR data was very similar to the correlation of individual array data and qPCR data and all trends previously discussed were maintained (Fig. 5).

We therefore arbitrarily set the correlation between the accuracy scores in the first and second periods to be 0.80, believing this would be a reasonable value for a continuous measurement recorded with only seven days between measurements.

We set the correlation rate between x n and its regulated gene x m as 0.75, x m = (1 − 0.75) × x m + (0.75) × x n.

For individuals in the validation set, the correlation cor DGV, EBV) t between DGV and EBV was estimated for each trait t.

In our study setting the poor correlation between global QOL and Total QOL could suggest that the Total QOL score measures a construct different to QOL as understood by study participants.

To determine the quality of the quantile-normalized data set and the correlation between arrays, CLC Genomics Workbench version 4.5.1 (CLC bio, Aarhus, Denmark) was used to compute mean expression values and corresponding p-values of the log2-transformed data.

The results are depicted in Fig. 1(c), which indicate that even for shorter sequences not occurring in the training set, the correlation between the predicted and the experimental Tm on a large dataset of 100 sequences is quite high (correlation coefficient, r = 0.98, data provided in Table S3).