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One-way ANOVA for multiple comparison was used to compare CPT levels and type of medication.
ANOVA followed by Bonferroni correction for multiple comparison was used to compare the clinical characteristics between cases and controls.
The extraction methods which have a significant difference between its mean values were grouped and multiple comparison was done using the Games Howell.
Furthermore, a two-way ANOVA with Bonferroni correction for multiple comparison was performed to analyse the differences in study groups over time.
Following the Welch statistics, the extraction methods which have significant differences between the mean values of their DNA yield were grouped and multiple comparison was done using the Games Howell.
If the interaction was tested to be significant (P < 0.05), one-way ANOVA was used to test the effects of water treatments on seedling indexes, and multiple comparison was used otherwise.
FDR correction with threshold of p < 0.05 for multiple comparison was then employed using MATLAB 2012b and to identify the final FC pairs with significant difference attributed to the gender factor.
As the Friedman test detected significant differences among the CSAs at three different time points at the tunnel aperture in the posterior tunnel and 10 mm distal from the aperture in the anterior tunnels (P < 0.05), the Steel-Dwass test for post-hoc multiple comparison was conducted.
Similar(3)
Correction for multiple comparisons was performed.
Bonferroni correction for multiple comparisons was used.
No correction for multiple comparisons was performed.
More suggestions(15)
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