The unifying characteristics of multiplicative cascades are scale invariance of statistical moments, multifractal spectrum of singularities and, of importance to this work, non-Gaussian tails which converge to Gaussianity at a logarithmic rate.
The main goal of this study was to assign concrete fMRI signal to noise values to the abstract scale of FIR statistical efficiency.
Although this is somewhat conservative since many markers are in LD (and therefore the tests are not independent), it serves as a rough approximation to the scale of the statistical burden.
Large-scale deletions of statistical significance were observed at 1p/1q, 3p, 6p/6q, 8p, 9p/9q and 14q, and large-scale amplifications/duplications of statistical significance were observed at 5p/5q, 7p/7q, 8q and 20p/20q.
Further, the scaled values of statistical indicators were used to calculate Global Performance Indicator (GPI).
On a more general note, the large-scale inference of statistical entities [ 56, 57], for instance of gene regulatory networks, possesses many difficulties and we are facing unprecedented problems.
Snellen visual acuities were converted to the logarithm of the minimum angle of resolution (logMAR) scale for statistical analysis.
Here again the logistical problem for experiments is one of time scale and also of statistical power.
They have been criticized because of ecological fallacy and the problem of geographic scale, the lack of statistical rigor, and the inability to appropriately define risks or health measures [ 30, 31].
For claims of potential improvement in the five selected scales, the level of statistical significance was fixed at 0.01 to reduce the risk of false-positive findings.
