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Exact(5)
After correction by Bonferroni method, the significant P value should be less than 0.007 NS = not significant.
When the analysis was run again using the random effects method, the significant effect just described was no longer significant.
We also performed the meta-analysis using a random effects analysis and with this more conservative method the significant recessive effect is maintained (ORAA = 2.00, P = 0.032).
After correction by Bonferroni method, the significant P value should be less than 0.007, the association of RANTES -28C/G to SARS susceptibility remained to have significance.
After correction by Bonferroni method, the significant P value should be less than 0.007 RANTES -28 CG and GG genotypes were significantly associated with SARS susceptibility with OR of 3.28 (95% CI: 2.32 4.64) and 3.06 (95% CI: 1.47 6.39) respectively (P < 0.0001) (Table 3).
Similar(55)
In time domain methods, such as the FDTD methods, the significant benefit is such that a narrow pulse can be injected to provide a wide range of frequency points using only a single run of simulation.
Algorithm 4 defines the relaxation method for the significant contact durations model.
The limitation of this method is the significant increase in the computation burden and scale.
This proposed method avoids the significant reduction in spectral efficiency in the current system.
The proposed method preserves the significant transition first and then performs smoothing and data sample based restoration.
The drawback to this method is the significant potential for contamination due to exposure to the surrounding air.
Related(20)
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