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Table 2 presents results from bivariate analysis examining the relationship between interpersonal, social and environmental factors and CCU, with the two types of non-commercial partners.
Nearly two-thirds of the women had made contact with formal health services one or two times a month prior to death, while most died at home.The results from bivariate analysis examining the association between the place where a woman sought treatment and socioeconomic status (poor versus non-poor) are presented in Figure 1.
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Table 2 lists findings from the bivariate analysis examining associations of ssEFV, and a priori chosen risk factors.
Table 4 displays a bivariate analysis examining partial edentulism by all of the study covariates.
Table 4 shows the results of correlation analysis examining the bivariate relationships among self-reports for pain-related and psychological measures and MMO, VAS, and VAFS measured immediately and 24 hours after the tests for the groups with moderate and mild neck disability.
A standard (unconditional) multivariate logistic regression analysis examined the associations between the dependent variable (cancer survivors or controls), and the selected independent variables showing significant associations in the bivariate analysis.
We used bivariate analysis to examine the relationship of the four primary exposure measures (ΣPCB4, dioxin-like PCBs, DDE, and MeHg) with the three primary outcome measures (Verbal Memory Index, Visual Memory Index, and Learning Index).
Using bivariate analysis, we examined the association between role conflict and other parent/children characteristics assessed in the baseline survey.
Multivariable logistic regression was developed for the primary outcomes (ie. PTSD symptoms of intrusion and avoidance), following bivariate analysis which examined the relationship of women's baseline characteristics with severe maternal morbidity exposure (Additional file 2) and the outcome (Additional file 3).
We also used bivariate analysis to examine associations with socioeconomic indicators (Table 3).
We collected demographic, clinical and biological data and performed bivariate analysis to examine risk factors associated with mortality.
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