Sentence examples for characterised sample from inspiring English sources

With regard to technicalities, clear strengths of our study include its well characterised sample of patients with all stages of impairment of glucose metabolism.

Nonetheless, the study had significant strengths as it was carried out with a large, well characterised sample with careful standardisation of laboratory conditions.

Few studies have considered the effects of home practice on outcome in MBCT to date, and the current study was able to draw on a large and well characterised sample of participants to address this issue.

Both mutations, Y313F and N316K, have been observed in all characterised samples of the above subtypes, whereas none of the proteolytically active subtypes, EspPα or EspPγ, harboured these modifications [16].

The second model attempts to characterise sample damage under impact-fatigue by relating the maximum force normalised with respect to initial maximum force to the accumulated loading time normalised with respect to the total accumulated loading time.

dnet implements two methods for characterising sample relationships (here relationships across tumour types): one is to build a neighbour-joining tree, the other is to create a self-organising landscape.

Thus, in this study our focus was to develop a strategy to validate a large panel of ligand binding (sandwich ELISA) assays (LBAs) (Shah, 2007) and to characterise sample handling issues associated with analysis of circulating soluble angiogenesis regulators such as stability and influence of platelets (Nayeri et al, 2002; Findlay, 2009; Mahler et al, 2009).

Despite characterising samples as having severe dementia, MMSE score ranges where quoted were wide (0 – 25 [ 10] and 0 – 30 [ 11]).

Moreover, a prerequisite for such an approach is a large, well characterised tinnitus sample.

In a separate analysis, we characterised our sample of 70 countries based on four feasibility metrics (see online data supplement 1).

Thus, we used the Evanno et al. [ 43] method to provide a better estimate of the 'true' number of clusters (K) that characterised our sample.