Sentence examples for bias in the size from inspiring English sources

Exact(7)

With respect to lateral symmetry, the average area of each major representation was similar for the right and left hemispheres; thus, we found no consistent bias in the size of S1 or its elements in the sample as a whole.

It is often thought that in the absence of external cues, cells extend pseudopodia in random directions, and that spatial cues such as chemoattractants induce a bias in the size or direction of the pseudopodia [2].

Note this is despite there being no hemispheric bias in the size of the ROIs (as reported above).

Although it has been reported that sequencing may be subject to artifacts related to bias in the size and base composition of amplified fragments (Dohm et al. 2008; Auerbach et al. 2009), the benefits appear to outweigh any such disadvantages.

Stabilization of distinct conformations by two drugs resulted in a nearly complete reciprocal bias in the size of ribosome footprints, providing evidence that large and small footprints originate from distinct ribosomal conformations.

It reduces the chance of finding associations with external variables (also subject to measurement error); however, in a regression analysis, measurement error in the dependent variable does not introduce bias in the size of the regression coefficient.

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Similar(53)

This taxa-specific bias in the sizes of sequenced genomes partially reflects taxa-specific differences in genome sizes.

However these broad trends in genome size do not fully account for the bias in the sizes of sequenced genomes.

All clinicians have a large bias in predicting the size of PaO2 changes.

Furthermore, the collected data are ordinal-level and not equidistant, and thus there is a risk of bias in evaluating the size of changes [ 48] owing to the uneven distribution of such changes.

3 The assumption of the association between trial quality and true effect size is derived from published 'meta-epidemiological' studies, which are investigations that quantify the extent of bias in the effect sizes related to trial quality in a group of meta-analyses.

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