As we reviewed the data we noted the quality of the data decreased over time.
To little surprise, the amount of overlap between editions in the data decreases with the size of the editions.
Both figures illustrate the right skewness of the distribution, and show that the range of the data decreases as ν increases.
As the variance of the data decreases, the posterior (or risk estimate) is influenced less by the prior.
In large data-gathering exercises, such as the TCGA, the degree of conservation in the structure of the data decreases with distance to the biological signal.
Indeed, as our confidence in the data increases, our tolerance regarding how closely the model have to reproduce the data decreases.
Furthermore, the time required for processing the data decreased to about 2.5 min compared with the 6-13 min required in 2002 (Table 1).
The probability of this parietal-to-frontal modulation model being the best-fit to the data decreased from HCs to transient PEs to persistent PEs.
Nevertheless, the probability of this frontal-to-parietal modulation model being the best-fit to the data decreased in a linear fashion from persistent PEs to HCs, with transient PEs in between.
The low peptide coverage in the MASS SPEC could be a concern but the authors address that and in addition the other supporting data decrease the concern.
