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The first is the limited number of patients, which limits statistical power.
Location differences in pesticide dust levels have been reported previously when using loadings rather than concentrations [ 21]; however, our small sample size limits statistical power and may have prevented us from observing statistically significant differences between locations for concentrations and/or loadings.
Another limitation resides in the very small number of patients, which limits statistical power of the analysis even in case of large differences among the subgroups; moreover, the limited sample size precluded the possibility of performing a multivariate analysis of risk factors associated with mortality.
While the small number of volunteers limits statistical comparisons between each solicited adverse event at each immunization time point, the frequency of each solicited adverse event appeared comparable in all groups.
The small size of the pilot study limits statistical power as well as the ability to characterize the effects of less common genetic variants: it is possible that selected candidates do not represent the only mtDNA variants with a potential influence on frailty.
Secondly, the relatively small sample sizes limits statistical power.
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This is a considerable advantage for users with perhaps limited statistical knowledge or limited R experience.
These limitations often resulted in very wide confidence intervals, which limited statistical analysis and the conclusions that could be made.
A third concern is limited statistical power, particularly in Taiwan, where numerous estimates are substantial but not statistically significant.
However, despite being statistically significant, the contingency test performed to study this association has limited statistical power.
The small sample size in this study limited statistical power.
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CEO of Professional Science Editing for Scientists @ prosciediting.com