The random permutations were performed 100 times, each time the distance between the two random groups was computed.
We split the sample into two random groups.
The sample is split into two random groups of 39 (group 1) and 36 (group 2) participants, respectively.
The resultant orientations of the images were used to calculate the Fourier shell correlation between two equal random groups of all the images.
For each of the 15 cases, we took all biomarkers in the two a priori groups, divided them into two random biomarker groups with equal size to the a priori groups, and calculated the correlation between the dysregulation scores of the two random biomarker groups (representing system‐specific dysregulation in two 'random' physiological systems).
In each iteration, participants' labels (one-handers or controls) were shuffled, creating two random experimental groups, and the difference between the averaged group indices was calculated.
In order to assess the significance of our results, we used a random model where we shuffled the probes of our dataset and compared the distance between the median samples of our two groups to the distribution of 1000 distances of median samples of two random sample groups separated with the same classifier.
If the amount of LAN is balanced between two groups due to random allocation, blue-blocking IOL may reveal a beneficial effect by reducing harmful influence of LAN according to recent cross-sectional evidence.
To calculate the statistical significance of the number of drug interactions between two ATC groups, ten thousands of random pairs of drug groups were generated for each unique combination of DG pairs and we counted how many drug interactions exists in the each random pair.
If too many contacts between two age groups exist, superfluous contacts are chosen at random and removed; if too few contacts exist, random individuals are chosen from the required age groups and connected.
