The Bayes A method proposed by Meuwissen et al. (2001) assumes the conditional distribution of each effect (given its variance) to follow a normal distribution.
Normal distribution was tested with the Kolmogorov-Smirnov test and logistic transformations of variances to achieve normal distribution were used when needed.
This evidence pertains to normal variance in gene expression, but may also be clinically relevant and could be tested by association studies of target genes and expression studies of post-mortem brain tissue.
In addition, the continuous variables were fixed to normal distributions and equal variances were analyzed by using the Kolmogorov-Smirnov test and homogeneity of variance test.
In smaller, prior follow-up samples from the Scottish Mental Surveys of 1932 and 1947 we reported significant contributions to variance in normal cognitive ageing from variation in the following genes: APOE [ 12], COMT [ 36], PRNP [ 37], DISC1 [ 38], and BDNF [ 39].
The TP is the variance of the normal-to-normal interval over a temporal segment; HF is closely related to vagal activity.
The datasets were analyzed by tests for equal variance and normal distribution to help select the appropriate test.
It depends on whether the analysis is limited by non systematic variance of the spectra, which is mainly due to the variance of normal surrounding tissue, or rather limited by detector noise.
Assuming that the analysis of the subtle spectral changes accompanying precancerous tissue (including chemometric techniques) is limited by the non systematic variance of the spectra, which is mainly due to the variance of normal surrounding tissue, minimization of signal contributions from surrounding tissue is important.
In addition to a large variance log normal prior, we considered penalizing parameters leading to non smooth time trajectories.
