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None of the other variables had a significant association with heart weight but BMI was close to the significance level (p = 0.067, Wald p-value) and thus may have been significant with a larger subject number.
This interpretation might be supported by further data since positive perceptions of agents showed a trend with ITI beliefs (which, if maintaining the same correlation level, would have been significant with a higher turnout for the post-survey).
Thus, it is possible that estimates that were not statistically significant could have been significant with a larger sample size.
For example, the non-significant reduction in neonatal mortality associated with multiple micronutrients might have been significant with a larger sample.
For example, the association between HIV and HCV which was found to be marginally non-significant could have been significant with a larger sample.
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Furthermore, 86 correlations were significant with a significance level of 0.05.
The effect of vitamin D3 was significant, with a 23percentt risk reduction, but there was no significant reduction with vitamin D2.
These differences may be significant with a larger sample size.
Difference in rates of some psychiatric disorders could be significant with a larger sample size.
The difference was significant with a p value of 1.0 × 10−5.
Concentration of sulfuric acid and pulp density were significant with a negative effect.
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