Spectral analysis of the DCT signals was the only method showing statistically significant differences between healthy eyes and those of GODA suspects.
In the present study, comparison of the two methods showed statistically significant differences in time to diagnosis of AKI, AKI incidence, AKI associated mortality and maximum AKI grade.
A comparison of genome-wide homozygosity estimates between siblings (a total of 117 sibling pairs were identified in the entire sample) revealed that none of the methods showed statistically significant different estimates within sibling pairs (analysis performed in pair-wise fashion using Wilcoxon test; data not shown).
Both MRD methods showed statistically significantly prolonged PFS for MRD-negative patients, with an estimated median PFS of 48 months in both groups, compared with a PFS of 16 months in PCR-positive (P=0.004) and to 13 months in MFC-positive (P=0.011) patients.
For each variable (OA pain, patient's global assessment of disease activity, and the WOMAC™ Function subscale score), each of the analysis methods showed statistically significant superiority of lumiracoxib 100 mg od (with or without initial dose) or celecoxib 200 mg od to placebo (Table 2).
Of those genes analysed with both Affymetrix (p < 0.01) and with TRAC (p < 0.05) methods, 61 showed statistically significant differences in their expression levels with both methods.
Consistent with this scenario, six additional methods of analysis showed statistically non-significant yet congruent signals of recombination in the same location.
The method showed a statistically significant improvement to predictive performance and potentially provides more rational flux terms over traditional split-sample calibration methods.
The enzymatic index (red Congo method), showed a statistically significant difference in the process of degradation of the lignocellulosic biomass between the Laser and LED groups compared to the control group [p < 0.0029; p < 0.029, respectively] 48-hs after the inoculation of the microorganisms.
However, the INA method showed no statistically significant relationship and might be explained by technical differences between the different detection methods.
