Sentence examples for overestimation issue from inspiring English sources

Exact(1)

To study this overestimation issue further, a different antibody was tested under the same circumstances, but again, this resulted in high overestimations.

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The MMHCP model we propose outperforms the popular Matérn type II model and the existing modified hard core point (MHCP) process model by avoiding the underestimation and alleviating the overestimation issues, respectively.

The comment at TS12.U3 stems from contextual knowledge of at-risk medical students, and is used to elicit discussion on a common issue: the overestimation of how much they have to do often leads to paralysis, making it worth pressing them to objectively account for the volume of work confronting them, so that it can then be divided and managed.

In this study, it is shown that the equivalent static wind loads defined with the Conditional Expected Load method, which extends the physical meaning of the Load-Response Correlation approach in a non-Gaussian framework, improves the issue of overestimations of envelope values.

It might have lead to an overestimation of IOPs and issues with variation with higher or lower corneal thickness.

Errors in 454 pyrosequencing data can be the primary cause for overestimation of the OTU number that is an issue which needs to be improved for accurate estimation of species richness in bacterial communities.

Liu, C. et al. Device physics of contact issues for the overestimation and underestimation of carrier mobility in field-effect transistors.

We then used our method to study the effect of overestimation of publication-citation records on the accuracy of citation indices an important issue to understand in light of the wide-spread use of such measures to evaluate individual, department, and university performance.

Overestimation of adherence is a common issue with subjective measures, which is why they are often not considered useful alone [ 31].

Firstly, the omics score may be given from a previous study, in which case the overfitting issue leading to an overestimation of its effect is no longer relevant and the omics score can be treated as any other candidate biomarker.

When the population size is small and the genotype data are large, this often causes an overestimation of the genotype effect, which exaggerates minor flux in the data, i.e. the 'large p, small n' issue (Jannink et al., 2010).

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