Here are some potential consequences, based on estimates by various groups.
The sort of small differences in cell count which, as we have shown, can have a marked effect on estimates, are an inevitable consequence of sampling variability.
This is particularly the case in STRF estimation, which requires the exploration of high-dimensional stimulus spaces, and where the inability to collect enough data has important consequences on the estimates.
Given the possible consequences on parameter estimates, checking the proportionality of hazards should be an integral part of a survival analysis based on a Cox model.
Thus, the selection of the Asian Indians as the group most closely related to our study population may have minor consequences on the estimates reported here.
In summary, the selection of the Asian Indians as the group most closely related to our study population may have minor consequences on the estimates provided by the UKPDS outcomes model.
Lower precision was likely a consequence of estimates being based on smaller changes in colony volume and only two measurements of volume.
To understand the consequences of estimating selection pressures on overlapping genes as if they are independent genes, let us consider a simplified view of the genetic code, in which all changes in first and second codon positions are nonsynonymous and all changes in third codon position are synonymous.
Following this approach, we explored the consequences on the estimated times by using different methods and calibration boundaries and evaluated not only their robustness to parameter perturbations, but also their compatibility with known divergences and biogeographical distributions.
Sequencing error may have important consequences not only on estimates of absolute rates of mutations, but on phylogenomic analyses that depend on the relative rates of events, as in the identification of novel functional elements and in predictions of positive selection [20], [21].
