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After adjusting for associated variables in the multivariate analyses, several DDAH1 haplotypes were significantly associated with ADMA levels, with the GAATTT haplotype of block 2A (p = 0.00012, B: −0.03, 95% CI: −0.04 to −0.01, Table 4 and Figure 1), and the TATAGTGGAG haplotype of block 3 (p = 0.00074, B: −0.02, 95% CI: −0.04 to −0.01) being the most significantly associated (Table 4).

In multivariate analyses, several factors were identified as being independently associated with malnutrition (Table  2).

See Table  3 for all univariate associations.> -wrap-foot> Although many associations disappeared after controlling for the other characteristics in the multivariate analyses, several significant associations were observed (see Appendix, Supplementary data are available in Age and Ageing online).

In the different multivariate analyses, several lines with similar pedigree often clustered into the same group, but the groups did not correspond to breeding programs, maturity groups or adaptation.

For the bivariate associations Pearson correlations were used, for the multivariate analyses several multiple regression analyses were computed (all predictors were entered simultaneously and remained in the final model).

Similar(55)

In multivariates analyses, several polymorphisms and gender were included as covariates.

The multivariate analyses underscore several poor prognostic factors related to pneumonia severity upon ICU admission: SAPS II > 50, requirement for vasoactive drugs, and a PSI risk class of V.

However, the multivariate analyses revealed several interesting features.

When all the genetic markers will be identified, we will be able to performed multivariate analyses using several genes (gene polymorphisms) as covariates.

Multivariate analyses revealed several statistically significant SNP-SNP interactions associated with increased breast cancer risk including one between CCND1 Pro241Pro and COMT Met108/158Val polymorphisms.

Although some studies indicated prognostic value of COX-2 expression for the breast cancer using univariate statistical analyses such conclusions were not confirmed by multivariate analyses including several significant variables [ 3, 12– 12].

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