Sentence examples for selectivity of data from inspiring English sources

Exact(1)

The pharmacological treatment of OA has evolved to becoming more evidence-based but publication bias, pharmaceutically vested interest and complete search databases and deliberate selectivity of data presented may have an impact on meta-analyses.

Similar(59)

Only 30% of the set of genomic hairpins in C. elegans passes this filter, representing a selectivity of 3.3 (data not shown).

In order to get prospective experimental validation, the selectivity of an external data set of 39 compounds reported in the literature was predicted.

However, site-directed mutagenesis work, thus far, has not positively identified residues that alter the selectivity of these proteins (data not shown).

Application of selectivity data is aided by accompanying turnover frequency data particularly when these derive from two or more different conditions of catalyst pretreatment, but some conclusions can often be drawn from turnover frequency data for two or more reactions or conditions of pretreatment.

This decrease in false positives reflects the increased selectivity of the promoter sequence data used for sets TGpr and TGgalf instead of the nucleotide sequence data used for set TGbs.

The results have shown that overall the overhead decreases with the increase in policy selectivity, due to the reduction of data that are accessed and analyzed by the queries.

Table 3 presents additionally the permeability and selectivity data of various types of PPO and PBI MMMs prepared in this work [30 34] and the ones reported elsewhere.

If we focus on the more mobile immigrant population, we actually face some problems of selectivity in the data that only contain information on the immigrants who remained in the country of immigration.

7 8 We assessed the risk of bias with the Cochrane Collaboration's risk of bias tool for randomised controlled trials and the risk of bias assessment tool for non-randomised studies (RoBANS), both of which address key criteria such as selection bias, exposure measurement, blinding, completeness of outcome data, and selectivity of reporting.

Analysis of data from size-selectivity experiments will be misleading if this between-deployment variability is not taken into consideration.

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