Sentence examples for example variance in from inspiring English sources

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For example, variance in lifestyle-antisocial behaviors in the general population may stem from multiple sources.

For example, variance in copy number may relate to variance in the strength of negative selection against more than one copy after duplication.

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For example, intrasubject variance in Brodmann area 4 (BA 4) was ∼ 8 times larger than in hippocampus, despite their similar gray matter volumes.

For example, the variance in OCF values provides an indication of the run-to-run reproducibility that can be achieved with LRE, which is typically less than ±20% for lambda calibrations.

For example, the variance in VAS overall pain severity was approximately nine-fold greater than the variance in HAMD17 total scores, leading to a three-fold greater standard error.

For example, while variance in the population growth rate of a species might be estimated from the currently available data, indeterminacy means that these data from the past might not reliably estimate the variance in the future.

Additional examples and variance in Ptrn-1 phenotypes are presented in Figure 1 figure supplement 1. (C ) Quantification of the PLM neurite overextension phenotype at 22°C.

Although this design provides the optimal test of the validity of using dimensional approaches to understand profiles of cognitive-affective processing, it would now be interesting to directly contrast the ability of dimensional and diagnostic approaches to model the variance in, for example, interoceptive accuracy, within the same study.

This result is informative as GC content is known to be important for regulation; it is associated with regulatory mechanisms such as nucleosome occupancy [ 29], aspects of secondary structure stability and effects on translation, and for example in chicken, variance in GC content in the 5' UTR of genes can perhaps explain 10%% of the variation in expression level [ 30].

This finding emphasizes that it is not straightforward to assume that selective attrition leads to underestimation of associations between variables due to for example restriction of variance in the sample.

For example either the variance in the single microarray intensities was so high that differential expression could not be detected in the contrast or the difference in expression levels (i.e. the logarithmic fold change) was too low to be significant because of biological reasons.

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