Sentence examples for much larger tests from inspiring English sources

Exact(2)

It will take much larger tests to see if vaccines actually work to ameliorate disease during a real flu season.

Worse, Iressa failed to extend the lives of patients with lung cancer in two much larger tests involving over 2,000 people.

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A maximum of 10 samples was used to avoid statistical mass significance; a much larger test panel could be considered to evaluate hypersensitivity in a situation with a known clinical problem (Schalock et al. 2012).

The results are a green light for a much larger trial that would test the vaccine in thousands of African children.

This underpowered analysis was carried out with the clear purpose to create hypotheses that could be tested in a much larger trial.

TLCd neurons also contrast with the laterally adjacent SC, whose neurons are much larger (t test, p < 0.0001; TLCd, n = 122; SC, n = 185), less densely packed (t test, p < 0.0001; TLCd, n = 100; SC, n = 100) and more heterogeneous in size, shape and orientation (Figs.  3a, b, 4b d ).

The computer methods described here are designed to be scalable to much larger hypothesis testing studies involving quantitative measurements of tumor angiogenesis, gene expression relative to known vascular structures, and impact of drug delivery.

Counter to expectations, recent work shows that fitting full models, instead of testing marker main effect and interaction components separately, in exhaustive multi-locus genome scans can have higher power to detect loci when epistasis is present than single-locus scans, and improvement that comes despite a much larger multiple testing alpha-adjustment in such searches.

As expected, human orthologomes become much larger when tested on vertebrate proteomes (∼12,000 for nonprimates, 16,930 for Macaca), reflecting their closer evolutionary relationships.

Our experiments consist of two parts: (1) in-sample accuracy of the SITVIT KBBN model trained using all available data and (2) out-of-sample accuracy of the SITVIT KBBN model trained on the SITVIT-Train and tested on the much larger SITVIT-Test set.The accuracy of the results was measured using the F-measure on the testing data (harmonic mean of precision and recall) averaged over the classes.

Because testing the statistical significance of differences in r SEM would have required a much larger sample, such tests were not performed here.

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