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Associations for potential explanatory variables (Table 1) with substance use disorders were examined using multivariate logistic regression analysis.
Rich data from a large community-dwelling non-disabled population of older adults in England were utilised, and comprehensive analyses adjusting for potential explanatory variables was undertaken.
First, we compared biomarkers of endothelial dysfunction in 74 RA patients and 80 healthy control individuals before and after controlling for potential explanatory variables, including both traditional and nontraditional cardiovascular risk factors.
After an adjustment for potential explanatory variables (age, duration of diabetes, A1C, BMI, blood pressure, and LDL cholesterol), SCH was also associated with diabetic retinopathy [odds ratio (95% CI): 2.02 (1.18–3.46), P = 0.011] and STDR [4.15 (2.17–7.96), P = 0.000].
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We want to emphasize that in addition to currently well studied factors such as food availability and climatic change, predation danger should be considered in the suite of potential explanatory variables for changes in the migratory behavior of birds.
The extent of the data enabled a detailed analysis adjusting for a greater array of potential explanatory variables than previously.
Although a number of potential explanatory variables were initially considered for the analysis, variables such as working status of women, partner's occupation and exposure to mass media have been included before finalizing the variables.
Table 5 List of potential explanatory variables included.
A pre-analysis was performed to minimize the number of potential explanatory variables.
The influence of potential explanatory variables on this decline was explored.
However, the number of potential explanatory variables to be considered presents a statistical challenge.
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