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The patterns of co-occurrence among the physical, mental and behavioral health problems were generally maintained in the multivariate models in Table 3.
However, before we start with the individual models we observe that the univariate and multivariate models in Table 2 shows similar overall pictures.
The multivariate models in Table 3 show the odds ratios estimating the likelihood that female respondents would accept that husbands are justified in hitting or beating their spouse under at least one circumstance.
In order to ascertain the interrelationships between HMW adiponectin, leptin and inflammatory cytokines/chemokines, individually or in combinations, with sex, adiposity or IR, we performed correlation analyses and constructed multivariate models in the combined study population and within each sex.
Figure 2 depicted the predictive performance of both multivariate models in postoperative and preoperative values.
The effect of covariates was evaluated using multivariate models in STATA 12 (Stata Corporation).
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Here, a methodology for improved multivariate modelling in supersaturation control with reduced calibration effort is developed.
We built a multivariate model in using few stations (3 stations) separated with irregular distances from 26 km to 56 km.
The multivariate model in Table 3 for never-married women shows that the odds of never-married women justifying wife-beating were lower in 2008 and 2013 relative to 2003.
Variables that were not significantly associated with the outcome (α>0.05) were removed from the full multivariate model in succession.
We added variables that were found to be associated with interruption in care or death in univariate analysis (p-value <0.25), to the multivariate model, in order to evaluate multiple factors simultaneously.
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