Sentence examples for generated a statistically significant from inspiring English sources

Statistical pooling of the studies including DES exposure generated a statistically significant estimate by the Mantel–Haenszel method, suggesting a doubling of the risk of cryptorchidism after in utero exposure to DES.

Secondary efficacy analysis showed that masitinib followed by the standard of care generated a statistically significant survival benefit over standard of care.

I then exploit the discontinuity in credit rates to analyze the credit's impact on retirement contribution behavior using a regression discontinuity approach, and find that the credit failed to generate a statistically significant effect on the level of retirement contributions.

Table 6 and Fig. 4 show that the frequency of playing video games generates a statistically significant difference among their attitudes, and the attitude becomes more positive as the students dedicate more time to playing video games.

This appears to be the most satisfactory and flexible approach, to date, of letting the data choose control states, and generates a statistically significant estimated elasticity for teens of −0.10.

The correlation between a given pair of regions is typically used to index functional connectivity [19], [23], [28], [22] and the resultant pair-wise correlation matrices R are then thresholded to generate a statistically significant functional connectivity network.

Strikingly, this comparison revealed that the addition of paclitaxel to Carbop-EC generates a statistically significant improvement in event-free survival and may also improve overall survival (see supplementary Figure 1).

The quantity of ccp transcript was not sufficient to generate a statistically significant signal above the background signal of the slide, and was filtered out at the pON filter stage of data analysis.

In these simulations we ensured that the system reached steady-state and that enough data were generated to generate statistically significant results.

We showed that by dichotomizing DUNDRUM-1 Triage Security item 1 to compare those who scored '4' against those who scored '3' or less, with length of stay as the dependent variable, the effect size for difference in cross-sectional length of stay was Cohen's d = 0.536 and this generated a 72.8%% chance of detecting a statistically significant difference at 5%% level in a sample of 95 in-patients.

This was methodologically insufficient and did not generate any statistically significant results.