Sentence examples for multiple comparisons adjusts from inspiring English sources

The technique corrects for multiple comparisons, adjusts for the heterogeneous population densities among the different areas, detects foci without prior specification of suspected location or size, and thereby overcomes pre-selection bias and allows for adjustment of confounders [ 13, 14].

Spatial scan statistic was used to identify areas and population at high risk at the county level, which corrects for multiple comparisons, adjusts for the heterogeneous population densities among the different areas, detects the foci without prior specification of suspected location or size thereby overcoming pre-selection bias, and allows for adjustment of confounders [ 12, 16, 19].

We used the Bonferroni method to correct for multiple comparisons, adjusting the critical α value to 0.01.

Bonferroni-Holm- corrections for multiple comparisons adjusted for dependent measurements have been performed for all correlations (k = 10) [32].

Statistical comparisons of the VMR in various groups were made using 2-way ANOVA, followed by multiple comparisons adjusted by the Bonferroni's test.

> -wrap-foot>> -wrap-Foot> F ST values (below diagonal) in bold are significant after Bonferroni correction for multiple comparisons (adjusted to 0.0018; values above diagonal are p-values).

Interestingly, vitamin B12 intake was also found to be associated with hypomethylation of a CpG site associated with RARB (retinoic acid receptor β) in HPV individuals after adjusting for multiple comparisons (adjusted p value < 0.05).

A list of differentially expressed genes, after correcting for multiple comparisons (adjusted p-value < 0.05), and of non-differentially expressed genes was used to generate the probability weighting function which enables to correct for the gene coding length bias.

Results of the LFP studies, induction of LTP, and various antagonist tests between the control group and the VH group were compared by 2-way ANOVA, followed by multiple comparisons adjusted by the Bonferroni's test.

A pair-wise multiple comparison adjusted for multiplicity using the Bonferoni correction revealed that all sites differed from each other (All P s < 0.001).

Multiple comparison adjusted Fisher test probabilities < 0.05 defined significance.