Exact(3)
Two factor completely randomized design (CRD) was applied and significant difference among means was worked out using Duncan's multiple range (DMR) test at 5% level of significance.
Since there were multiple analyses, a Bonferroni correction was applied, and significant differences were noted between the two groups in diarrhea duration as well as in fecal weight after the first 12 hours.
However, to account for multiple comparisons when analysing polymorphisms or haplotypes, a Bonferroni correction was applied and significant differences were considered for P-values <0.005.
Similar(57)
A two-factor repeated measures ANOVA revealed a significant main effect of knowledge domain (F [3.5, 206.6]=15.67, P<0.001, MSknowledge domain=12.30, Greenhouse Geisser correction applied) and a significant interaction effect between knowledge domain and study condition (F [3.19, 187.89]=12.22, P<0.001, MSinteraction=12.91).
Extremely high pressure, up to 300 GPa, was applied and no significant modification attributable to a major structural change was observed.
Analysis of variance (ANOVA) was applied and the significant effect of the factors and their interactions were tested at 95% confidence interval.
Forward stepwise selection was applied and consistently significant clinical measures were analyzed for their association with individual dimensions of EQ-5D in multiple logistic regressions.
In statistical analysis, t-test unpaired (p<0.05) was applied and all significant changes above 2-fold were selected.
The P-value cutoff was set to 0.01, a Benjamini-Hochberg correction was applied and the significant fold difference was considered two-fold above or below baseline.
Different thresholds of dimer significance (as described in the methods section) were then applied and sets of significant dimers were clustered using CAST [ 34] (step 3 of the algorithm) producing 12 data sets in total.
Whole genome analysis strategies are now being applied and may yield significant genetic modifiers.
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