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Bootstrap standard errors (SE) for the difference of Phi measures between groups were generated using 50 bootstrap replications; between 50 and 200 replications are generally adequate for estimates of bootstrap standard error [ 41, 42].
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Based on ANOVA analysis, lists of genes differentially expressed between DF, DHF and DSS groups were generated using different false discovery rate (FDR) ranging from 0.05 up to 10%.
A significant difference between the amounts and types of oxygen containing groups were generated using different oxidants.
Carboxyl groups were generated at the edges by electrochemical processing.
Using cluster analysis, two groups were generated.
Between-group effects were generated by interrogating the model discussed above.
As the main purpose of gene expression studies using microarrays is to reveal the underlying biological differences between groups, functional networks were generated using MetaCore.
The observed difference in costs between groups was mainly generated by hospitalization.
The observed difference in costs between groups was mainly generated by the costs of anti-TNF therapy and hospitalization.
Contrasts between groups were used to generate p-values, moderated t statistics, Empirical Bayes statistics, and M value [log2 (ratio)].
Contrasts between groups were used to generate p-values, moderated t statistics, Empirical Bayes statistics, and M values [log2 (ratio)].
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