Sentence examples for bias relation from inspiring English sources

Here, we were partly motivated by the work of Tateno and Robinson [15], showing that the regular spiking (RS) pyramidal neurons exhibit a Type I continuous f– I bias relationship while the fast-spiking (FS) interneurons show a Type II discontinuous f– I bias relation.

Motivated by recent electronic transport measurement of boron nitride-graphene hybrid atomic layers, we studied magnetization distribution, transmission and current-bias relation of graphene/h-BN/graphene (C/BN/C) nanoribbon-based magnetic tunnel junctions (MTJ) based on density functional theory and non-equilibrium Green's function methods.

An additional issue relates to social desirability bias in relation to the survey questions that rely on self-report on sensitive topics including previous VCT use and direct experience of HIV.

Studies with relative good avoidance of selection, performance, attrition and detection bias, in relation to the test and control populations, are classified as internally valid.

CTA (area) method in the whole sample and in the group of surgical stenoses showed no significant bias in relation to CDUS measurements.

We only found evidence of gender bias in relation to perceived technical competence; in situations where the perceived technical competence of the job candidate was low, the female candidate was less likely to be hired over a male counterpart.

The aim of our study was to estimate annual incidence rates and in-hospital mortality trends for hospitalized patients with sepsis in a European setting, while avoiding selection bias in relation to different complexity hospitals.

Naturally, for a given subscale with fixed category intercepts, it becomes possible to display bias in relation to different levels of μ ERS as a function of μ ENV to better illustrate how between-country variability in response style will introduce bias in the mean scale score estimate of ENV for that country.

That the outlier plots are primarily located in the riparian topographic strata is noteworthy as sampling bias, in relation to both land tenure (cf. Hilty and Merenlender 2003; Patterson et al. 2012) and sampling protocols mean riparian vegetation is poorly sampled nationally by the datasets in the NVS databank.

We also found publication bias in relation to beneficial effects.

Furthermore, there was a high risk of bias in relation to the origin of follow-up.