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Table 5 describes the results of the univariate and multiple logistic regression analyses.
Odds ratios (ORs) were calculated using simple and multiple logistic regression analyses.
Univariate and multiple logistic regression analyses were used to identify factors independently associated with incontinence.
Multiple logistic regression analyses were performed to assess factors associated with the development of hospital complications and hospital mortality.
In addition, multiple logistic regression analyses showed an association between antithrombin use and the 28-day mortality rate.
Multiple logistic regression analyses incorporated multiple variables considered risk factors for respiratory distress syndrome and intraventricular hemorrhage.
Conditional univariate and multiple logistic regression analyses were used to assess associations between household malaria risk and potential risk factors.
The results of multiple logistic regression analyses suggested that high homocyst e)ine levels were independently related to CVD risk.
Multiple logistic regression analyses examined the effects of 22 predictors on the course of depression (onset, improvement, stability).
Variables associated with failure or increased duration of therapy were identified via univariate and multiple logistic regression analyses.
Significant predictors of multiple victimisation in multiple logistic regression analyses were variables within intra-personal, peer, parental and environmental domains.
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