Sentence examples for usefulness in the analyses from inspiring English sources

The method was selected based on its usefulness in the analyses of experiences, reflections, and attitudes [ 13].

For example, a working group may have requested data on occupational history; these data were available from only 3 of the cohorts and thus would have had limited usefulness in the analyses.

Since 1996, several studies have evaluated the usefulness of 18-F-Fluoro-D-deoxyglucose positron emission tomography (F-FDG PET) in the detection of infectious foci and, more specific, the usefulness in the analyses of suspected VPGI (Table 1).

Due to the fairly low proportion of comments scoring above 5 on Usefulness, the data for the Usefulness score used in the analyses did not follow a normal distribution.

The proposed method is tested in a real case study that demonstrates its usefulness in analysing the service level and equity of a transport system and improving a city's public transport planning.

The frequency of gastroesophageal reflux in the current study was very low (1.7%), limiting its usefulness for the analyses.

This should make it easy for metagenomic research groups to employ the tool that we propose, and establish its usefulness in future analyses.

With the aim of showing Delphi's usefulness in the business area, and before analysing its potential use in business ethics, we have used three types of Delphi processes to make the classification.

We informed participants that the 'degree of importance' was related to two issues; first, the relevance of the characteristic in identifying patients in daily practice to whom the results of a study were applicable; and, second, its usefulness in meta-analyses for assessing the comparability of patient populations from different primary trials for a potential pooling of results.

The Purchase Function enables us to enhance our knowledge about the system as a whole, describing both customers and products, and we prove its usefulness in three different analyses.

In the wider field of bioinformatics there are numerous scientific workflow tools available for analysis, e.g., in genomics and proteomics [11], but a big proportion of these tools have various characteristics that limit their usefulness in highly complex analyses, such as when combining cross-validation and parameter sweeps.