Sentence examples for large statistical difference from inspiring English sources

Exact(2)

There was a 34-fold induction in the luciferase activity in the liver after an eight-day exposure to hyperglycemia with a very large statistical difference (p = 6.76×10−10) compared to that of the controls.

Nevertheless, even after accounting for differences in mappability, there is still a large statistical difference in H3K27ac signal across the length of the enhancers (Additional file 2: Figure S3).

Similar(58)

In practice, the fact that there were no large statistical differences is good news for the breeders because the baseline model (M1), or even better, the simplest model with row-column adjustment (M2), are appropriate for phenotypic analysis towards GP.

Throughout the experiment, the amount of microleakage in EP was largest, but no statistical difference was indicated due to the high standard deviation.

The molecular profiles vary by the percent of the population they classify as low risk, the fraction that respond to therapy, and the outcomes among those without pCR, even though the data set was not sufficiently large to show a statistical difference.

The two topographies clearly differed, as shown by the large t-values in the statistical difference map (Fig. 2).

The pseudoword vs. symbols N170 contrast led to large t-values in the statistical difference map and demonstrated strong evidence for perceptual expertise elicited by novel word forms.

However, the number of exposed was not large enough to detect a statistical difference in risk between the exposed and unexposed groups, and adjusting for the included risk factors did not change that finding.

In view of these results, a likely scenario is that compliance in both smaller and larger vessels increase but that our estimator Ĉ did not have high enough SNR to measure a statistical difference in larger vessels.

It is shown that although the errors of evaluation are quite large for low-resolution images, the statistical difference present in the original data is still observed for parameters that depend only on the global characteristics of trabecular structure or marrow space, or depend only linearly on the number and area of disconnected parts of marrow space or trabecular structure.

When the number of imputations was large, we did not observe a statistical difference between imputing the missing data using untransformed or squared root transformed measurements, although we noticed a slightly tighter variance when untransformed data was used.

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