Sentence examples for terminology sampling from inspiring English sources

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The lack of clear answers may be attributable partly to different interpretation of the existing data, which can be related to many of the overarching research needs described above (rigorous attention to use of standardized terminology, sampling characterization/measurement methods, use of standard reference materials, and use of appropriate dose metrics).

Similar(59)

We call E the global energy, following the terminology of Gibbs sampling.

This chapter introduces terminologies and basic concepts of sampling from finite populations such as sampling design, inclusion probabilities, ordered and unordered samples, and sampling schemes.

Although Wakeley et al. [ 46] coined the more accurate term "SNP-discovered locus" (SDL) to describe these single nucleotide differences that may or may not be segregating within sampled groups, this terminology is not widely used.

These differences in terminology and geographical sampling have hindered conservation of eastern wolves in Canada and grey wolves in the USA.

In contrast to file-based storage solutions, no experimental information is lost upon turnover of laboratory staff and no problems arise from cryptic and inconsistent sample terminology.

Meanwhile, possessing over 85% homology with Hsp70, constitutively expressed housekeeping chaperone heat shock cognate 70 (Hsc70) was recognizable in all samples (confusing terminology and the function of Hsp70 family proteins are reviewed by Daugaard et al [15]).

In many cases it may be appropriate for these data to be anonymized, that is, made "not identifiable" (see point 6 for explanation of ICH sample coding terminology).

There is now a set of definitions including sample coding terminology agreed internationally and recognized by all constituents of the International Conference on Harmonisation (ICH) that has become official in 2008 (http://www.fda.gov/downloads/RegulatoryInformation/Guidances/ucm129296.pdf).

Therefore, while Fullwiley encounters scientists who, while committed to addressing health disparities and injustices in their work, seem to be somewhat less critical about the use of racial terminology to qualify their samples, Bliss (2011, 2012) claims that her interviewees are engaged, and that is the explicit reason why they adopt 'race' as a scientific parameter.

In this paper we introduce latent variables as a source of heterogeneity and design a latent group model leading to a depleted P value distribution near 0. With practical applications in mind, we will adopt terminologies from two-sample microarray studies for cancer.

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