Sentence examples for measure we selected from inspiring English sources

Based on each feature selection measure we selected the top 50, 100, 200 and 300 features.

We identified the 2 short-form items in Sample 1 and confirmed their properties in Sample 2. In order to identify the 2 items for the short-form measure, we selected the first item based on the highest item-total correlation.

Along with the computation of the measure, we selected an approach to present results graphically for each measure.

For the comparison of different similarity measures, we selected four top clustering methods that require a similarity measure as input.

To compare the performance of actors sets selected by the HT measure with other influence measures, we selected sets of top actors based on the HT, T, PageRank, and Katz centrality measures.

To compare the performance of actors sets selected by the T measure with other influence measures, we selected sets of top actors based on the T measure and sets identified by measures that are known to be good heuristics for seed set selection, namely degree and betweenness centrality [26].

It is possible that the outcome measures we selected were not sensitive to changes which did occur.

When a paper reported multiple models with different income inequality measures, we selected the analyses using Gini coefficient, the most commonly used measure of income inequality (see box).

Analyses of documentation behavior were stratified by specialty because we anticipated differences between pediatricians and internists due to the nature of their patient populations, methods of practice, and the documentation measures we selected for analysis.

As secondary outcome (process measures) we selected degree of adherence to safety procedures, e.g. maximum sterile barrier during the CVC insertion procedure and adherence to hygienic protocols during intravenous administration.

For each of the three stress measures, we selected a subset of the original items for brevity based on analyses of other pregnancy data sets indicating that these items were most predictive of adverse birth outcomes (Rini et al. 1999).