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The effect of changes in variances (Figs. 1 and 2) on the reliability of selection was quantified in detail in generations 20 and 21 by calculating the PEV reliability with different values of additive genetic variance (Table 4).
The effect of changes in variances on the PEV reliability and the reliability of selection was analyzed in detail in generations 20 and 21 and compared to the equilibrium reliabilities.
Analyses were carried out fitting sets of random regression coefficients due to animals' direct and maternal, additive genetic and permanent environmental effects, with changes in variances due to temporary environmental effects modelled through a variance function, estimating up to 67 parameters.
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Analyses are performed considering abrupt changes in variance occurring with and without shifts in the mean.
Specifically, we test whether changes in variance, parameters and mean are significant in the respective models.
This is because when extra variables are added, the variances are confounded, i.e. changes in variance of the residuals at one level induce changes in variance of residuals at another level (Kreft and de Leeuw 1998).
Although we expected to find consistent changes in variance, kurtosis, and skewness, the observed relationships were weak.
For crossover and parallel group designs, sample sizes are adjusted for reduced statistical power due to carryover effects and temporal changes in variance.
In all the abovementioned three scenarios, we find that the observed changes in variance and standard deviation increase with the increase in the distance.
Little is known, however, about the performance of this test in detecting changes in variance, despite the potentially large impacts that these changes (shifts) could have when dealing with extremes.
Thus, paternal age-related changes in gene expression variance in control subjects were similar in direction to autism-related changes in variance.
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