Sentence examples for assessing the majority of from inspiring English sources

Before we snub our noses at testing, we would be better served to address two fundamental issues: 1) Have we designed an alternative means of assessing the majority of non-participating, inattentive students?; and 2) Will the hours we steal from test prep be reallocated in a manner that is beneficial to either the minority or the majority of our students?

Thus, as with CD45 and Fn1 isoforms, SeqZip proved highly quantitative for assessing the majority of Dscam1 isoforms.

In contrast to targeted bisulfite sequencing techniques, next-generation bisulfite sequencing, including reduced representation bisulfite sequencing (RRBS) [ 21] and whole-genome bisulfite sequencing [ 22], can profile DNA methylation across an entire genome by quantitatively assessing the majority of CpG sites in a single experiment.

Failures to assess the majority of young people in need of help mean some of the most vulnerable could miss out on the help to which they could be legally entitled, leaving them at risk, campaigners warn.

SB recruited the participants and assessed the majority of the patients.

The studies used prospective cohort data to assess the majority of the BCTQ psychometric properties.

Moreover, we assessed the majority of variables known to be potential confounders of the association between depression and CVD.

Although researchers have assessed the majority of these treatments in animal models of FASD, a limited number of recent clinical studies exist.

Thus, evaluation of therapeutic response must be able to assess the majority of sites of disease and to differentiate, reliably and early in treatment, responding from non-responding cell populations.

The extent to which there is a continuous or threshold relationship between insulinaemia and cancer is difficult to assess, the majority of studies simply comparing risk in the top and bottom percentiles.

While the majority of studies provided a clear outline of the progress of participants through the trial (i.e. numbers contributing to analyses at each outcome assessed), the majority of studies lacked detail on why participants withdrew and the relevant characteristics of those participants lost to follow-up.