Sentence examples for relevant for explaining the from inspiring English sources

Exact(7)

Furthermore, when a patient leaves the clinic with a fitted hearing aid, it is not completely known which features are relevant for explaining the patient's preference.

We show that the employment gap between the richest and poorest quintiles is particularly relevant for explaining the rise in income inequality from 2006 to 2009.

The gravity model, however simplistic, is relevant for explaining the strontium variation in the population in Öland both in the Early and Late period.

The results from the Blinder-Oaxaca decomposition in specification (1) thus supports our result that attitudes are relevant for explaining the difference in self-certified sick leave between those with high and low education.

These confounders could be relevant for explaining the relationship between prehypertension and incident diabetes.

Reproductive ground plan hypotheses have been prominent in studies of honey bees and eusocial wasps, but may not be relevant for explaining the evolution of eusociality in other lineages, such as small carpenter bees [ 56, 57].

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Slope angle appears to be the most relevant parameter for explaining the erosion phenomenon induced by earthen roads in the watershed.

The aim was to identify the relevant predictors for explaining the variance in periprosthetic BMD in order to make appropriate recommendations for preventive measures to combat peri-implant bone loss.

And DeRose (1999, 2002) and Cohen (1999) argue that the prospects for explaining the relevant data via any kind of pragmatic or 'warranted assertability' manœuver are dim (arguments to which both Brown 2006 and Rysiew 2001, 2005, 2007 respond).

The results have shown that, besides the social structure of the population, contextual factors like the upper secondary education, the dual education, vacant jobs, and expenditures for active labour market policy are also relevant for explaining regional differences in the NEET rates.

The estimated γ is significant (for α = 0.01) and this implies that differences in technical efficiency among firms are relevant for explaining variations in output in the sample (more than 80% of the variability on the whole).

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