Sentence examples for biased proportion from inspiring English sources

However, it is unknown how much the caste biased proportion of the genome varies in quantity or quality and how this relates to the level of caste polymorphism.

Such a biased proportion of amplified Pseudoroegneria-like copies is not consistent with the contribution of a whole Pseudoroegneria-derived genome.

In the triploid 'obvious' hybrid 1187, these same three sites showed equal amounts of superimposed peaks at these positions compared to the strongly biased proportion of 'Eastern' and 'Western' ribotypes in the rest of the sequence (Table 1).

Of course some of the cells complete mitosis, since the authors followed the outcome of divisions after their treatments, but the question is whether drug treatment has reduced and biased the proportion of cells that complete mitosis normally, which would significantly affect their conclusions.

Based on patterns of spatial bias, proportion of alignment affected by LGT, directionality, and absence of association with MGE, we conclude that DCT is likely the predominant mechanism of LGT among M. canettii.

In addition, the mean hatching success for each treatment was calculated by dividing nymph production by egg production; however, for this analysis, females that laid no eggs throughout the 7-day period were removed to avoid artificially biasing the proportion of eggs hatched.

Use of divergent reference samples for parental populations of admixed samples leads to estimation of admixture proportions that are biased towards equal proportions for all referent samples and estimation of generations since admixture that are upward biased.

Horton et al [ 35] showed that such rounding may produce biased estimates of proportions when the true proportion is near 0 or 1, but does well under most other conditions.

Failure to account for out-of-state emigration biased the incidence proportion by 12% (from 28.3%w to 25.2%w), and the hazard ratio (HR) by as much as 33% for some risk factors.

Even if the results are biased, the calculated proportion of laboratory-confirmed nA/H1N1v infection cases amongst suspect cases enables extrapolation to provide a reasonable estimation of the total number of cases.

The Kaplan Meier estimates are biased because the proportion of death is large and increases with follow-up time.