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For the models with more than one independent variable, adjusted odds ratios are shown.
SumDental showed statistically significant associations with all reinjury variables when analyzed as a continuous variable (adjusted odds ratios above 1.5).
A woman whose partner had secondary education was 2.9 times more likely to influence the outcome variable, (adjusted odds ratio 2.913, 95% CI, 1.337- 6.348) while one whose partner had studied up to primary school had a lower odds of influencing skilled birth attendance, (adjusted OR 1.217, 95% CI, 0.658-2.25) compared with a partner with no education.
This observation was confirmed in a multivariate logistic regression model, with RR as the dependent variable: adjusted odds ratio for response was 0.81 (95% CI: 0.37 1.79) for CMF and 0.92 (95% CI 0.43 2.01) for anthracyclines (χ-2df=0.29 χ-2df=0.29
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For all included variables, adjusted odds ratios (AOR) and 95% confidence intervals (CI) were calculated.
The all-variables adjusted odds ratios are found in the second column in Table 3. Coping remained strongly negatively associated with BP (odds ratio approximately 7) with none of the others exceeding 1.5 (height).
When DRC was analyzed as a continuous variable the adjusted odds ratio was 2.3 (95% CI: 2.0, 2.6) (P < 0.001).
The multivariate logistic regression model was performed using opioid prescription as the dependent variable, and adjusted odds ratios were produced to test significance and establish effects sizes.
When we modeled duration of exposure as a continuous variable, the adjusted odds ratio of lung cancer for an increase in 10 years of exposure was 1.03 (95%% CI=0.94-1.13).
When APE1 activity was used as a continuous variable the adjusted odds ratio for lung cancer associated with 1 SD (211 units) decrease in APE1 activity was 2.0 (95% CI = 1.3 3.1; P = 0.002) (Table 2).
As a sensitivity analysis, the model was re-run using the original non-imputed viral load variable; the adjusted odds ratio (aOR) was similar [3.85, 95% confidence interval (CI) 2.65 5.59].
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