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Since the distribution of effect sizes is not necessarily normal, I applied both parametric (t test) and non-parametric (bootstrapping with 10,000 replacements) tests for calculating the 95% CI for the mean effect size and the statistical power.
Let us consider the validation of a mutation-scanning technology that tested 100 different mutations in a particular gene (5000 bp) resulting in a sensitivity of '≥97%9595% CI)' (see the section 'Qualitative tests' for calculating and reporting sensitivities).
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Furthermore, we changed the permutation test for calculating the p-values by permuting residuals and using as weights the observed ANOVA coefficients divided by the standard error values.
Differences between means were statistically evaluated using the paired Student's t-test or repeated measures ANOVA, followed by Bonnferroni's multiple comparison test for calculating differences in data containing more than two variables.
To identify the significant, discriminative motifs, the algorithm uses Fisher's Exact test for calculating the significance of relative enrichment of each motif in two sets of sequences.
For continuous variables, we used the t distribution for calculating the 95% confidence intervals (CIs) and the Welch modification of the two-sample t test for calculating the p values for differences between means.
The difference in the abrasion values between the toothpastes and also the abrasion values over time were calculated using the statistical package (SPSS 18.0 Statistical Package for the Social Services), using an unpaired t-test for calculating equality between means.
Data was evaluated by SPSS software version 12 using standard contingency χ tests or Fisher's exact test for calculating the differences in genotype frequency between cases and controls.
At the end of the test period for calculating the final capital, this cost will be considered.
At the end of the test period for calculating the final capital, this cost will be considered. .
Five percent of unique reflections omitted from refinement were used as the test set for calculating the Rfree values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com