While recurrence rates approaching 30% have been found in other moderate size samples (21,22), these rates are sample specific and will likely not be generalizable, as findings from larger samples show autism recurrence rates converge between10%and20%20,2320,23).
Whilst recurrence rates approaching 30% have been found in other moderate size samples (e.g., [42,55]) these rates are sample specific and will likely not be generalizable as findings from larger samples where autism recurrence rates converge on between 10% and 20% [16,54].
This is an important issue, since even in our moderate size sample, evidence for long-term concerted evolution (lasting for more than 30 million years) was found for the meiS332 gene pair in species of the Drosophila subgenus.
Although the validation results presented in this manuscript are promising, this initial assessment of the ACT was conducted in one country, with one professional group, and with a moderate size sample.
While the performance of this approximation depends on the sample size, it works well even with a moderate size of sample.
This is particularly useful for moderate-size data samples.
Fourthly, given the moderate size of our sample we were rigorous in the statistical approach employed to minimise the likelihood of spurious findings.
It is interesting to note that the linear and piecewise linear DBNs (iii iv) perform better at moderate sample sizes compared with higher sample sizes, possibly because of model misspecification.
Range/4 formula works best for samples of moderate size (between 16 and about 70), while for really large samples, Range/6 is the best estimator.
Second, its moderate size allows an extensive sampling of configurational space by computer simulations.
