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The relation between post-procedure headaches and the risk factors found significant in bivariate analysis was studied with binary logistic regression; the best fit chosen based on likehood ratio.
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The significant factors derived from the bivariate analysis were studied separately using unadjusted relative risk (95% confidence interval).
A first descriptive analysis of the various parameters collected was carried out A bivariate analysis was then performed to study the factors affecting morbidity and mortality in digestive surgery The comparison was made using the student's t test for quantitative variables and the Chi square for the qualitative variables.
RHT is probably not available at STD clinics because such testing is usually only provided in emergency settings; that STD testing and treatment were not associated with RHT in the bivariate analysis was confirmed in our study.
Bivariate analysis was done for each variable under study in relation to daily tobacco use.
Following descriptive analysis of the study variables, bivariate analysis was performed to identify associations between the dependent variables (DVs: social and emotional loneliness) and independent variables (IVs), level of significance set at p < 0.05.
For the other variables included in the model, the significance seen in the bivariate analysis was lost.> -wrap-foot> The study population comprises adults (aged over 18) who died in the Agincourt sub-district between 2003 and 2011 for whom healthcare utilisation data was available.
Next, bivariate analysis was done to compare depressive symptoms by study characteristics using Chi-square tests.
In the current study, the presence of AWS in bivariate analysis was statistically significant (p<0.001).
A bivariate analysis was carried out to evaluate the crude effect of each independent variable on self-medication (study outcome).
Bivariate analysis was done using the Chi Square test.
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