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For low to medium variability (σ=0.01 and 0.1) the proposed algorithm was able to very accurately estimate the potential node orders for the complete and multiple knock-out designs (see Figures S1 S4 in Additional file 1).
For example, we identified two putative prophages that appear complete, and multiple transposons in FSL R5-192 (Additional file 9), while no complete prophages and only two transposons were identified in FSL H7-689.
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However not much is known about the genetic bases of PAD even though several GWAS for coronary artery disease have been completed and multiple susceptibility variants identified.
Several human clinical trials using MDX-010 have been completed and multiple trials are in progress; the clinical experience in these trials will be summarized.
For the latter, our findings might serve as a basis for setting such fixed upper and lower CIs of exposure, in particular, for epidemiologic studies where recruitment of participants has been completed and multiple sampling for exposure assessment is no longer possible.
Both the magnitude and direction of the MRRs based on complete information and multiple imputation analyses were overall very similar (Table 2); the average of the relative differences ((complete case − multiple imputation)/multiple imputation) was 2% (range from 1 to 6%).
Complete case and multiple imputation analyses were conducted.
We report complete case and multiple imputation results from regression analyses.
Table 2 provides the logistic regression results for the complete case and multiple imputation models.
The magnitude and direction of the estimates based on complete subjects and multiple imputation were overall similar.
Both complete dataset and multiple imputation analyses are presented in Tables 2, 3, 4, 5 and 6.
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