Sentence examples for relevant in the study from inspiring English sources

Exact(17)

However, unemployment and nominal exchange rates effects on life expectancy have been found very relevant in the study.

These are particularly relevant in the study of the effect of physical properties, flow type, and geometric parameters upon hydraulic and water quality efficiency.

It is also relevant in the study of deformation of surfaces by Gauss-Kronecker curvature [4] and in a maximum principle for parabolic equations [5].

Objective: Evaluate racial differences in reproducibility of hormone levels over time (estradiol, DHEAS, FSH, and testosterone) while adjusting for covariates previously identified as relevant in the study population.

Note that discrete modelling techniques are very relevant in the study of ecology and biology problems as well, like, for instance, the discretization of logistic equations [12] leading to discrete models such as those related to the well-known Riecker, Beverton-Holt and Hassel equations (see, for instance, [13 21] and references therein).

In addition, it is also relevant in the study of disease progression or remission.

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Similar(43)

The task of assessing the tissue-specific effect in suppressing gene activity is especially relevant in the studies of the brain, because a significant variability in gene expression levels among different areas of the brain was well documented.

However, due to the magnitude of these effects as compared with the unexplained interindividual variability, none of these covariates were considered to be clinically relevant in the studied population.

Although vitamin deficiency was not observed to be clinically relevant in the studies, it is recommended to supplement patients with oral multivitamins, to be taken apart from xenical, usually at bedtime.

This is particularly relevant in the present study system because the vast majority of gene expression studies in passerine birds have focussed on a single tissue, the brain.

We further provide recommendations about which and how to handle relevant confounders in the study design or data analysis.

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