Sentence examples for ability of analyses from inspiring English sources

Exact(1)

1 2 3 4 5 6 7 Two major potential problems could arise in the use of medical record databases to provide reliable information concerning treatment outcomes: the quality of the data contained within the database and the ability of analyses of observational that is, non-experimental data to provide valid results.

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It reflects the ability of evolutionary analyses to contribute to the broader social sciences and humanities.

The limited ability of our analyses to detect small-scale spatial variation could explain why environmental drivers accounted for only 22 % and 17 of variation in the non-spatial analyses of genera and families, respectively.

We examined the ability of microarray analyses to determine the potential markers of pathological complete response (pCR).

The ability of these analyses to take both age and socioeconomic deprivation into account in examining the patterns of lung cancer incidence is an important step.

Including participants from both locations' facilities' increased regional and ethnic heterogeneity of the sample of OEF-OIF returnees and enriched the ability of the analyses to reflect the changing nature of the definition of polytrauma and the veterans experiencing it.

However, with the latest program version of RAxML implementing partitioned analysis, rapid bootstrap functions, and the ability of parallel analyses, even very large data sets, can be analyzed in a reasonable amount of time.

To investigate the ability of ICA analyses to reveal fine-scaled eccentricity organization, we applied ICA (FSL's MELODIC) to data from an eccentricity mapping experiment (Author response image 1).

To date, cost-effectiveness analyses of pediatric interventions have focused on averting adult obesity [ 24, 25], but having an estimate of the decrement in health utility associated with child obesity extends the ability of such analyses to account for childhood-specific benefits of the interventions as well.

In an analysis of two gene expression datasets, both representing the types of class-comparisons that are typical in microarray studies, we established that the use of domain-specific knowledge in the form of prior network seeds can improve the ability of Bayesian Network analyses to learn known interactions between genes.

Additionally, this is a low symptom group of enrollees (with relatively low symptom scores at baseline and a mean ASBI of 18), limiting the variability in the data and the ability of the analyses to show treatment heterogeneity in subgroups defined by LCSS items and composite scores.

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