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Binary logistic regression analysis was used to confirm differences in SNP frequencies between cases and controls.
A non-parametric test – rank analysis of covariance – will be used to confirm differences between the groups.
The Dunn multiple comparisons post-test was used to confirm differences when analyzing comparisons involving multiple groups.
This was used to confirm differences in dietary restraint between the AN subtypes and ED symptomatology between the AN and HC groups.
A one-way ANOVA and pair-wise comparisons based on Tukey's Honest Significant Difference method (p- values as indicated in the figures and tables) were used to confirm differences in gene expression.
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Again, FACS analysis was used to confirm the differences between different fluorescent color variants.
A p-value less than 0.05 was used to confirm significant differences at the 95% confidence level.
A p-value of less than 0.05 was used to confirm significant differences at the 95% confidence level.
The McNemar test was used to confirm significant differences in sensitivity and specificity.
First, the representative sample was used to confirm socioeconomic differences in smoking status.
Linear-model two-way repeated measures ANOVA was used to confirm the differences in over-time-dependent surveys.
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