Sentence examples for data applicability to from inspiring English sources

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(asking answerable questions, searching, appraising, analysis or synthesis, interpreting the data, applicability to individual patients or applying EBM in your day-to-day practice) F. What EBM concepts of terms do you feel you understand the least/most? 3. EBM training A. What was the most/least interesting or valuable thing you learnt in EBM why?

Similar(59)

Evaluating the quality of scientific information used in regulatory decision making requires that judgments be made about data production processes, data reporting, analysis, and interpretation methods and data applicability relative to the goals of the decision-making activity in question.

DISTMIX inherits the main advantages of DIST, i.e. speed, not requiring genetic data access and applicability to pedigree data, while gaining the capability to accurately impute association summary statistics from multi-ethnic studies.

Apart from the hypothetical example, the analysis of the HRS data has proven applicability to real world data.

While all three packages are originally designed for LC-MS data sets, their applicability to GC-MS data should be feasible.

The challenges in the development are to cope with both the heterogeneous data from different sources like machine master data, work plans or product data and the applicability to SMEs.

And even if the cancer was detected as a result of P.S.A. screening, the data have limited applicability to one's personal situation.

Limitations: Clinical trial data have limited applicability to clinical practice.

Considering the nature of data and their applicability to comply the different relevant equations, the Eden and Hazel (1973) method available in software StepMaster (version 2.0) was used to estimate transmissivity.

Although only examined for CRL, these methods may be a solution to other truncation problems involving similar data and their applicability to other settings would need to be evaluated.

In doing so, it has the advantage of generating models that can be described by continuous smooth dynamics, which then allow for accurate estimates of parameters for use in the analysis phase, effective data noise reduction through curve smoothing, and applicability to data with irregular time sampling schedules.

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