Sentence examples for subjects were calculated using from inspiring English sources

Change in psychometric and physiological measures within subjects were calculated using repeated measure ANOVAs.

Spearman correlations between measures of BPA across subjects were calculated using SG-corrected values.

The distances between groups of the subjects were calculated using Ward's method and the Euclidean distance.

P-values for the difference between the genotypes of the subjects were calculated using the likelihood ratio test.

The relative mRNA fold changes (insulin-resistant compared to insulin-sensitive subjects) were calculated using the 2−ΔΔCt method.

Mean standardized values of plasma miR-126-3p miR-126-3p miR-126-3pR subjects were calevelsed using T2DMstandard proCTRure: subjects measure= X- mean/SD.

Power of the sample size (subjects) was calculated using the Power for Association with Errors (PAWE) software (http://linkage.rockefeller.edu/pawe) [42], [43].

The number of subjects was calculated using the Simon two-stage optimal Minimax design (Simon, 1989).

The correlation between the adjusted change in BP and the number of subjects was calculated using the meta-regression procedure.

Once gene modules were identified, the "Module Eigengene" (ME; the first principal component of the expression values across subjects) was calculated using all probes in each gene module.

Incident cases of HZ were determined and the probability of developing post-transplant HZ for all subjects was calculated using the Kaplan Meier method.