Sentence examples for be applied and interpreted from inspiring English sources

The problems discussed above suggest that the statistical and headline-grabbing power of meta-analysis must be applied and interpreted with caution.

The selected tools should have published evidence of the empirical basis for their construction, validity of items and reliability of interpretation, as well as guidelines for use, so that the tools can be applied and interpreted in a standardized manner.

Consequently, one of the primary aims of GO is to create a single, explicit definition for each biological term so that these terms can be applied and interpreted consistently by all biologists.

Although these basic principles are laudable and seemingly straightforward, it remains to be seen how they will be applied and interpreted if and when the provision of unproven stem cell-based interventions comes closer to home.

17 As defined by Boers et al, 18 outcome measures should adequately meet the criteria of truth (ie, validity; measure what they intend to measure), discrimination (ie, reliability and sensitivity to change; discriminate between situations) and feasibility (ie, be applied and interpreted easily) in order to be meaningful and relevant.

The court exists to ensure that laws passed at EU level are applied and interpreted correctly.

Biomarkers of OP exposure can be a valuable tool in epidemiology of children's environmental health, as long as they are applied and interpreted appropriately.

For the supplementary tests in the age subgroup 0 2 years, a Bonferroni correction was applied, and resulting p values were interpreted at a significance level of 1.25%.

In the present study, only a basic well-known process based on static images was applied, and the differences could be interpreted only in this context.

We describe necessary advances in machine learning, image digitization, and data aggregation and visualization techniques, as well as ways to ensure that such tools are carefully tested, applied and interpreted.

The field of bioinformatics emerged in the 1980s from the growing realization that increasingly powerful computers and software could be applied to interpret increasingly diverse and complex sets of biological data.