Sentence examples for risk of inaccuracy from inspiring English sources

As with all recorded activity or performance data, there is always a risk of inaccuracy, confusion and fiddling.

Further, the SEC is keenly aware that the risk of inaccuracy is increased at startups because they tend to have looser internal controls than their public counterparts (Zenefits is the glaring example here).

Such indirect determination bears an increased risk of inaccuracy.

Unstable hemodynamics (low perfusion index, use of a vasopressor, presence of edema, and low mean arterial pressure) and insulin infusion were associated with increased risk of inaccuracy.

The high quality of their data collection has minimised the risk of inaccuracy of organisational structure variables and ensured the comparability between hospitals.

This study uses validated and reliable questionnaires as much as possible in order to minimize the risk of inaccuracy and reduce the risk of measurement bias.

It argues that reduced staffs feeding both newsprint and online platforms are increasing the risk of inaccuracies.

On the other hand, with modern computational power, it is now possible to simulate transitions and turbulent flows with Reynolds averaged Navier Stokes (RANS -based computational fluid dynamics (CFD) models with loweRANS -basedinacomputational20].

The assay presented here is based on the single-platform counting technology, which is superior to the dual-platform approach in clinical trials because it greatly reduces the sources of variability, minimizes the risks of inaccuracy and improves inter-laboratory comparisons [22], particularly when the target cells represent a small percentage of the circulating leukocytes [36].

Although we cannot fully exclude the risk of coding inaccuracies, even after careful screening of medical records, differential misclassification is unlikely, and the conceivably minor extent of non-differential misclassification presumably had a minor impact on reported annual incidence rates (Jurek et al. 2005).

The bigger the value of M, the lower the probability of acceptance will be, but the smaller the value of M the bigger the risk of numerical inaccuracies.