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Values in bold denote beta (95% CI) and significance values of outcomes with significant intervention effects (P<0.05).
Models were tested for goodness of fit using Hosmer Lemeshow HLL) tests, which report significance values of p≤0.05 for risk models with significant deviation from accurate calibration across a range of risk [27].
In order to avoid significance values of zero in case that no permutation test is more significant than the original data a pseudo-count can be added.
Statistical significance values of the means were evaluated using a one-way analysis of variance.
Different SNR values will result in different α β curves, hence, the acceptance of a measurement system depends on the specified significance values of α and β and not solely on strict SNR values.
Significance values of anthropometric and biochemical data were calculated using paired-samples T-test.
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Differences with a significance value of P < 0.05 were considered statistically significant.
A significance value of above 0.05 (p > 0.05) for Group indicates a non-significant effect whereas a significance value of equal to or less than 0.05 (p ≤ 0.05) is indicative of a significant effect (Gravetter & Wallnau, 2013).
This difference showed a significance value of 0.025 in the two-tailed t test.
However, a significance value of 0.000 was obtained which implies that the null hypothesis was rejected.
A statistical significance value of p <0.05 was established since a bilateral hypothesis was posited.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com