Exact(2)
The Kruskal-Wallis test revealed statistically significant differences among groups (p = 0.029), also confirmed by a multiple test adjusting procedure based on the rank-means paired differences (p = 0.018) (Table 2). Figure 1 Cephalalgiaphobia and frequency of migraine.
For example, a simple workflow to investigate genes potentially related to cancer might begin with microarray image analysis, normalization, statistical tests to identify differentially expressed genes between the normal and the tumor tissues followed by a multiple test P-value correction.
Similar(58)
When multiple proteins are tested, the number of false-positive test results should be limited by a multiple testing correction.
For group comparison the Welch t-test with a p-value cut-off of 0.05 was applied, followed by a multiple testing correction according to Benjamini and Hochberg [ 16].
In separative analysis, the predicted target genes were subjected to KEGG/GO enrichment analysis individually, following by a multiple testing method (Benjamini and holm, BH) to select for significantly (p < 0.05) over-represented KEGG pathways and GOBPs (Table 4A and B, full tables are given in Additional file 1: Table S3).
None of the genes that were marked as significant by the MK test passed a multiple test correction.
The apparent lack of response in seven instances (see Results) is a subthreshold phenomenon caused by a conservative multiple test corrected thresholding, and does not mean that the experiment failed in these cases.
Differences in blood oxygenation level-dependent (BOLD) responses were tested with an analysis of variance (ANOVA) followed by a multiple comparison test (t-test).
An ANOVA statistical test (P<0.05) followed by a Benjamini Hochberg multiple test correction was performed with the normalized data for differential analysis.
The statistical analysis was performed using the ANOVA test, followed by a multiple comparison test, TUKEY-KRAMER.
We then identified discriminant features of the different groups, using an analysis of variance (ANOVA) test followed by a multiple comparison test on each feature (Supplementary Table S13).
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