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26 We then corrected for asymmetry using the trim and fill method, with adjusted relative risks and the number of studies adjusted presented for each pollutant.
The differential expression of transcripts (treated vs. untreated) was determined from unfiltered microarray probes using the Benjamini-Hochberg method with adjusted p < 0.01 [28].
Differentially expressed miRNA between different groups were identified using parametric t-test or LIMMA (one factor analysis) and were then sorted using the Benjamini-Hochberg false discovery rate (FDR) method with adjusted p-values <0.05 and p < 0.01.
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The p-values were computed based on the chi-square statistic adjusted by the FDR method; genes with adjusted P values < 0.05 were treated as candidates for positive selection.
The P values were computed based on the Chi-square statistic adjusted by the FDR method and genes with adjusted P value less than 0.05 were treated as candidates for positive selection.
These genes were further sorted based on the Benjamini-Hochberg false discovery rate (FDR) method with an adjusted p-value <0.05 and fold change cut-off of at least 2-fold up/down regulation.
The direct method (panel A) deviations are greater than the other two methods (panel B and C), with adjusted r values of 0.84232, 0.99991, and 0.99988, respectively.
This involved selecting only genes detected as enriched in body parts from Tiassalé versus N'Gousso via both the limma and GaGa methods with an adjusted p value ≤0.001 and setting a cut off of 1.4-fold differential expression (see Methods section).
All these authors used the HP model with Method 1 adjusted for the other known prognostic factors.
Although this requires further investigation, evaluating the impact of dialysis method on survival is very difficult, with the method adjusted for individual patients.
Briefly, with this method we adjusted the observed HR for a series of risk factors not reported in our data set while simultaneously controlling for risk factors that were included in our survival model (e.g., education, income, contextual variables).
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