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Multiple logistic analyses indicated that the T −413)A (TA+TT/AA) polymorphism, sex, smoking habit, DM and BMI affected the occurrence of ischemic heart disease.
Thereafter, we conducted a multiple logistic analyses.
Various risk factors for SCI were examined using multiple logistic analyses.
The relationship between SCI and various factors were examined by univariate and multiple logistic analyses.
Multiple logistic analyses were conducted to ascertain trends in the risks of CS and LBWT.
Simple binary logistic regression and backward stepwise multiple logistic analyses were performed to identify factors influencing high psychological distress.
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For those adverse health outcomes which were associated with a poor overall QOL or a poor HRQOL at univariate analyses, multiple logistic regression analyses were then performed.
The statistical analyses included simple cross-tabulations, analyses of variance and multiple logistic regression analyses.
Additional analyses were conducted using multiple, stepwise and multiple, logistic regression analyses.
Our multiple logistic regression analyses included all independent variables that were significant at 15% (24) in the simple regression analyses.
Table 5 describes the results of the univariate and multiple logistic regression analyses.
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