Sentence examples for power to evaluate effects of from inspiring English sources

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We had considerable power to evaluate effects of induced abortions, given that they have been legal in Poland for many years.

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We did not have sufficient power to evaluate effect modification of associations with CAP, or of differences according to supplement group, by sex.

The significant strengths of this study include a large sample size, which provided ample power to evaluate effect modification.

A parametric study was preformed to evaluate effects of the thermal power loss, burial depth, pipe diameter and soil thermal conductivity on the thermal field in the near field of a buried pipeline.

Despite being the largest case control study of biliary tract cancer to date, we had limited statistical power to evaluate main effects of ampulla of Vater cancer and the effect of gene environment or gene gene interactions due to low allele frequency and the small number of bile duct and ampullary cancer cases.

This study may also lack statistical power to evaluate the effects of extreme temperatures in subgroups of comorbid conditions.

Our sample size, combined with a within-subjects design, provided strong statistical power to evaluate the effects of the emotion/reward manipulations and directly compare them to each other.

12– 14 However, most of these studies had relatively small numbers of athletes with multiple concussions, leading to insufficient power to evaluate the effect of multiple injuries, or the possible frequency-dependent effect of one versus two versus three or more prior injuries.

As is typical of phase 2 trials, we will have limited statistical power to evaluate the effect of the intervention on DV, but substantially greater statistical power to examine the effect on intermediary outcomes (DILs' and MILs' empowerment).

The small number of gastric cancer patients (n=100) and the low frequency of HP-negative subjects (10%) limits the statistical power to evaluate the effect of HP infection and virulence factors.

Second, the number of participants was very small, which could have led to insufficient statistical power to evaluate the effect of the subscale factors to predict PPD and to the predictive validity of the total PDPI-R-J scale.

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