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The large variance in volume data from FISH was not simply a consequence of variability in hybridisation efficiency, as live cell measurements had a similar variance.
Although the variance in structure volume explained by changes in whole brain size is much lower than in mammals, it still represents 86% of all variance in volume.
Hence, although brain structure evolution appears to be more flexible in the Tanganyikan cichlids than in mammals, there is still a high proportion of the variance in volume that is explained solely by changes in size [ 13, 14].
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As shown in Figure 3, there was excellent agreement between these two methods of estimating absolute mass of mammary epithelium, with 95% of the variance in the volume measurement being accounted for in the measurement of area (r2 = 0.95, p < 0.001 on the log transformed data).
Table 6 shows regression results for explaining the variance in the volume of use of the hashtag #bostonstrong.
Table 7 shows the regression results for explaining the variance in the volume of use of the hashtag #prayforboston.
In a study by Voevodskaya et al., ICV estimated by FreeSurfer explained about 16% of the variance in hippocampal volume of healthy elderly [2].
On average, genetic influences accounted for approximately 70% of the variance in the volume of global, subcortical, and ventricular ROIs and approximately 45% of the variance in the thickness of cortical ROIs.
The thickness of the root zone and the average CaCO3 content in the secondary carbonate-free layer and the upper 30 cm of soil accounted for ∼58 and ∼68%, respectively, of the variance in canopy volume.
We found that radiation accounted for 12.6% of the variance in head volume, which must be considered a large effect size for biology.
Overall, these studies suggest that although differences exist between manual and automated methods, a similar portion of the variance in hippocampal volume appears to be captured by these measures.
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