To our knowledge, this is the first study to report an estimate of heritability for serotonin and to detect a dominance variance for LDL, FFM, and SBP.
Assuming a type I error of 0.05, power (1-β) of 0.80 and including up to 5 independent variables in the final models, a sample size of 61 subjects would be needed to detect an explained variance of at least 19% on the WOMAC function scale(r = 0.43) and a sample size of 110 subjects would be needed to detect an explained variance of at least 11% on the WOMAC function scale (r = 0.33) [ 10, 13, 48].
A) Methods for detecting differential gene expression, B) methods for detecting differential correlation, and C) methods for detecting a differential variance.
The analysis of differential variability (DV) aims to detect a change in the variance of the gene expression values [ 54].
The power of our study was ∼85% to detect a QTL that explains 1.5% variance in an RBC trait, given a sample size of 3,000, a minor allele frequency of 0.05, and the significance level of 5×10−8.
QN produces a slightly narrower peak visible on a density plot, indicating that we can detect a reduction in inter-sample variance.
A power analysis was conducted with the program G*Power Version 3.1.9.2 [ 44] for a three-group comparison using analysis of variance to detect a large effect (f = 0.40) for the postural sway outcome measure and 0.80 power; the results showed the required total sample size was 66.
A total of 152 randomized patients were required to detect a 50% reduction in the variance of the arcsine square root transformed percentage of hours of optimal sedation for patients on the remifentanil-based treatment regimen compared with the standard treatment regimen, using a two-sided F-test with 80% power and a 0.05 level of significance.
Through a simulated synthetic example, this work evaluates the performance of PCA-based GLR charts designed to independently detect a shift in the mean, independently detect a shift in the variance, and simultaneously detect shifts in the mean and/or variance.
Exemplarily, we had 80% power to detect an eSNP that explains 1.8% variance of a trans-regulated transcript or 0.7% variance of a cis-regulated transcript.
