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A bivariate analysis was conducted to determine the association between each explanatory variable and HL outcome.
A bivariate analysis was conducted to determine the association between each explanatory variable and the NHL outcome.
We used odds ratios and 95% confidence intervals to investigate the magnitude of the association between each explanatory variable and the outcome of interest.
Firstly, unadjusted odds ratios (OR) were calculated for the association between each explanatory variable and breastfeeding cessation at both 10 days and 6 weeks.
Odds ratios for the association between each explanatory variable and Brucella serological status were calculated and chi-square tests were performed to assess the significance of the association.
In order to investigate what factors were associated with self-reporting of CKD, univariate logistic regression with patients clustered by practice was used to explore the association between each explanatory variable and self-report of CKD.
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Associations between each explanatory variable and current smoking were measured by Pearson's χ test with a p value <0.05.
Next, we used bivariate Cox proportional hazards regression to examine the associations between each explanatory variable and time to all-cause mortality.
Unadjusted results consider the association between the outcome and each explanatory variable individually.
We conducted univariate analyses to test for associations between disease status and each explanatory variable by using t tests for continuous variables and χ tests for categorical variables.
Associations between the outcome variable (abstinence) and each explanatory variable were investigated using chi-square test.
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