Sentence examples for data with the final from inspiring English sources

The suitability of EMR approach was thus proven effective to perform reverse-engineering of known specifications and available experimental data, with the final aim of reconstructing a high fidelity computational tool that meets computational burden requirements for subsequent model-based tasks deployment.

We use GPU CUDA programming to perform all the computational expensive algorithmic processing, with the ultimate goal to connect the acquired medical imaging data with the final diagnostic outcome for the patient.

Stage 3 collected the remaining four waves of longitudinal data, with the final surveys emailed in September 2013 and closed in November 2013.

There will be an interim analysis using 1-year follow-up data, with the final analyses based on the 2-year data.

During the study, new pharmacokinetic data with the final formulation in healthy subjects became available that showed that the plasma levels of aprepitant attained with the 375 mg regimen were higher than expected, and a pharmacokinetic interaction was found to exist between the 375 mg regimen and dexamethasone.

Moving to Spearman definition for the sake of correlation analysis would therefore introduce a statistical inconsistency, as it would be equivalent to moving to rank-transformed data for preliminary analysis, yet staying with original data with the final analysis; a choice that may be hard to justify.

Interviews were conducted until no new data emerged, with the final three interviews yielding no new information.

However, for three studies, there were less details regarding the characteristics of the sample that either dropped out or had missing data compared with the final sample population.

The procedure is performed individually for each gene in the data set, with the final date estimate for a given node being the median of all genetic or fossil estimates or the youngest fossil estimate alone, should it be older than the median value.

For marker discovery, one such strategy is to perform marker ranking multiple times, using bootstrap samples and/or k-fold cross-validation from the same data set, with the final, selected markers the ones with highest average ranking (and perhaps low variance/uncertainty).

Monte Carlo test was used to compare 1,000 simulated data with the empirical final data.