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A Bonferroni procedure (49) was used to adjust multiple comparisons.
The test with Bonferroni correction was used to adjust multiple comparisons with the family-wise α at 0.05.
Similar(58)
A multiple linear regression model was used to adjust for multiple risk factors in the treatment delay analysis.
Since most of the experiments involved comparing single and/or double mutants to the common wild type control with multiple endpoints, Dunnett's and Bonferroni methods were used to adjust for multiple comparisons.
Varying significance levels were used to adjust for multiple testing of many variants, namely, 0.05 for one variant, 0.001 for multiple variants in a single gene, and 0.00001 for multiple variants across the genome.
To ensure an overall significance level of 0.05, Bonferroni correction was used to adjust for multiple testing in the four endpoints, and adjusted p-values (pa-values) and adjusted 95% confidence intervals (95% aCI) are presented throughout the paper.
Tukey method was used to adjust for multiple comparisons.
Bonferroni test was used to adjust for multiple comparisons.
Tukey's method was used to adjust for multiple pairwise comparisons.
Bonferroni correction was used to adjust for multiple (n = 7) comparisons.
Tukey's method was used to adjust for multiple pairwise comparisons, which were based on the differences in least squares means.
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