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Association between delay in adjuvant therapy and breast cancer mortality were explored in Cox regression models.
Relationships between NSAID use and all cause and CVD mortality were explored using logistic regression.
Restricting analysis to the SAB cohort, determinants of 30-day mortality were explored by multivariate logistic regression.
Associations between demographics, antibiotic use and mortality were explored using unadjusted odds ratios with 95%% confidence intervals.
The effects of continuous variables on mortality were explored using: Defined categorical representations based on relationships observed in the study data and, for age, based on previously published categorisations.
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The influence of health behaviours on the association between low health literacy and mortality was explored.
Finally, the diagnostic accuracy of FGF-23 for the prediction of mortality was explored by receiver-operating-characteristics curve analysis.
All other statistical testing was post hoc, and assessment of association with mortality was explored carefully based on the somewhat unexpected high proportion of mortality.
In addition NSAID use was treated as a time-varying exposure and the relationship between NSAID use and mortality was explored for each interval of follow-up.
The association between the total number of antibiotics used and mortality was explored using the linear-by-linear association chi-square test.
Association of independent variables with the two outcome measurements (major morbidity and mortality) was explored by using a logistic regression analysis.
More suggestions(15)
morbidity were explored
life were explored
death were explored
mortality were investigated
mortality were omitted
mortality were associated
mortality were evaluated
mortality were calculated
mortality were identified
mortality were collected
mortality were analyzed
mortality was explored
mortality were given
mortality were observed
mortality were found
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