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Consistent with this result, Variance Component Analysis showed significantly higher genetic variance (Va) for the ΔTV% response to 6% CO2-enriched air among RCFfs/hs than CTfs/hs individuals, and almost double heritability, as estimated from half-sibs' correlations [51], for ΔTV% response to 6% CO2-enriched air among RCFfs/hs compared to CTfs/hs subjects.
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However, the resulting variance is very high.
The resulting variance equation contains no spurious production term and differential diffusion is treated easily.
Moreover, a biased estimator can lower the resulting variance obtained by any unbiased estimator generally [23 28].
The resulting variance vs. depth diagram indicates the optimal depth as a clear variance minimum (Figure 5).
This solution differs somewhat from the theoretical optimum, but the resulting variance is hardly larger.
Taking the homogeneous Poisson process as a model of neural activity with no modulations, we conclude that the resulting variance, which equals the mean rate, is attributed to the neural noise.
Resulting variance components are less biased and more accurate.
The resulting variance can make the task insensitive to mild deficits.
The resulting variance of the prediction of interest z can then be obtained as Σnew 1, 1).
All resulting variance estimates, p values and heritability terms are presented.
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