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This has been taken into consideration by limiting the number of variables in the multivariate model (see Methods) and by verifying the conclusion drawn below though bivariate analysis.
In a multivariate model (see Model 1, Table 3), HIV-positive males were significantly more likely to have syphilis antibody titers consistent with active infection (AdjOR: 6.24; 95% CI: 2.43 16.05).
Further adjustment in the final multivariate model (see below) increased the risk estimates slightly.
All characteristics associated with timing of core foods in univariate models remained significant in the multivariate model (see Table 2).
The association persisted when the analysis was restricted to singletons (age and sex adjusted OR 3.01, 95% CI 0.87 10.38), and in the final multivariate model (see below).
All characteristics associated with timing of non-core food introduction in univariate models, except for breastfeeding, remained significant in the multivariate model (see Table 2).
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The multivariate models (see Table 12) show that more educated migrants, with more experience of the political sphere of their host country tend to think they are more influential.
This methodology is termed simultaneous nearest neighbours (henceforth) and avoids the problems that frequently occur with non-parametric multivariate methodologies, like the curse of dimensionality, which makes it necessary to use huge amounts of data to estimate the parameters of multivariate models (see Hastie et al. 2001).
In the multivariate models (see online supplementary table S2) there was a significant increased risk at lag 0 for PM10 and SO2 for those younger than 80 years of age as well as at lag 1 for SO2.
First of all, we observe that for the multivariate benchmark model (see Table 2) the 1-day ahead MAE on all out-of-sample days (({mathbb{O}}_{text{all}})) is about 1.48 GW and for all out-of-sample days without the public holidays (({mathbb{O}}_{text{nH}})) it is only about 1.31 GW.
The hazard ratio in the proband's relative (child, sibling, spouse) depending on proband survival, was estimated by use of a multivariate (Cox) model, see Table 3.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com