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Sentence examples for multiple testing revealed from inspiring English sources

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Univariate statistical analysis with correction for multiple testing revealed chromosomal gain of region 11q22.1 q22.2 and losses of 17p13.3 and 11q23 q25 to be associated with loco-regional recurrence (P = 0.004, P = 0.003, and P = 0.0003) and shorter survival (P = 0.009, P = 0.003, and P 0.0001) respectively.

Multiple testing revealed no significant associations between the four symptoms of attachment categories with indicators of low quality of care.

Post hoc tests (with the same adjustment for multiple testing) revealed that all between-group differences were significant (p <0.0083).

Correction for multiple testing revealed that none of the detected peaks had less than 10% chance to be a false positive finding.

Although correction for multiple testing revealed that only ITIH4 had less than 10% chance to be a false positive finding, several of the other proteins have previously been found in relation with symptomatic breast cancer.

Multivariate analyses, using a Bonferroni correction to adjust for multiple testing, revealed that, in general, there was agreement between the two groups with regard to cognitions of condom use with casual sex partners (see Table  5).

Similar(54)

Overall, the differences in mean motivation scores between hospitals were statistically significant (ANOVA, p < 0.001), but multiple comparisons testing revealed that the differences were primarily between the three lowest-scoring hospitals (H6, H1 and H7) in comparison to H2, the highest scoring hospital (Bonferroni test, p < 0.05).

Transmission disequilibrium test analysis followed by multiple testing adjustments revealed a significant genetic association for one SNP located in an intron of the gene 4-aminobutyrate aminotransferase (ABAT) (Padj = 0.027).

Pairwise Wilcoxon tests with multiple testing correction revealed significant differences between probands and controls (dominant group versus control, P = 0.003; recessive group versus control, P = 0.01; and undiagnosed group versus control, P = 0.01) but not between different case groups.

Multiple comparison tests revealed that the LE-RE distance was greater in B25 as compared to B50 and B100 (95% confidence interval 125.8 129.6, p < 0.001).

Multiple comparison tests revealed that the optimal variation in the processing parameters could reduce the negative effect of talc samples inherent properties on the final score and improve the activation procedure energetic and economic sustainability.

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