Sentence examples for multiple simultaneous tests from inspiring English sources
Therefore, it is clear that the original grid idea must be modified in underground settings to maintain the accuracy of WUSN experiments and also to provide the flexibility of having multiple simultaneous tests.
Sequential Bonferroni correction (Rice 1989) was applied to account for inflated type 1 error rates associated with multiple simultaneous tests.
For all analyses involving multiple simultaneous tests, significance levels were adjusted by application of a sequential Bonferroni correction with an initial alpha of 0.05 [ 71].
Strong population structure can lead to false positives for deviations from HWE when populations are pooled (Wahlund Effect), so we assessed HWE in each population at each locus individually, applying Bonferroni correction to control for false positives resulting from the effect of conducting multiple simultaneous tests.
In order to correct for multiple simultaneous testing, a Bonferroni correction was applied to the critical value to ensure a constant family-wise false positive rate [ 34].
Whenever pertinent, the significance of P values was adjusted following Bonferroni sequential corrections for multiple simultaneous statistical tests (Rice 1989).
Therefore, several multiple allergen simultaneous tests (MAST) were developed, which can detect more than 30 allergen-specific IgE [ 5– 8].
In this section, a multiple simultaneous hypothesis testing approach with a Bonferroni correction by Holms 101 was used to contrast a single performance measure strategy with the multiple performance measure strategy proposed here.
The study by M. Han et al. analyzes the degree of concordance between the various multiple allergen simultaneous test assays and a reference method.
This question arises because of the increased risk of Type I errors (findings of false "significance") when multiple simultaneous hypotheses are tested at set p-values.
Where a significant difference between means was identified with ANOVA, the differences between individual means were analysed further with Bonferroni simultaneous tests for multiple comparisons.
