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However, these methods are dedicated to discriminating, clustering and retrieving CAD models, and not to accurately identifying and locating differences between models.
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Percentage data were arc sine transformed and analyzed with ANOVA; a Duncan multiple comparison test was conducted to locate differences.
Bonferroni corrected post-hoc tests were performed to locate differences.
When applicable, pairwise comparisons with Bonferroni correction were applied to locate differences between interventions, and Scheffé's post hoc test was applied to locate differences between groups.
When applicable, pairwise comparisons with Bonferroni correction were applied to locate differences between interventions.
In case of interaction effects, bonferroni post hoc tests were performed to further locate differences.
In case of a significant main effect, pairwise comparisons with Bonferroni correction were applied to locate differences between treatments.
When the ANOVA showed a significant interaction effect, a Tukey's post hoc test was used to locate differences between conditions.
Most studies rely on comparing peak area or intensity to locate differences in the relative abundance of specific metabolites between samples.
In case of interaction between significant time and treatment, pairwise comparisons with Bonferroni correction were applied for separate time points to locate differences between treatments.
The data were analyzed using either Student's t-test for unpaired data or analysis of variance followed by appropriate post-hoc test to locate differences between groups.
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