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Logistic regression was used to calculate odds ratios between each cortisol variable and the subsequent development of depression.
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Each cortisol variable was calculated as a mean of the available samples over the study period.
A total of 348 responses were received, which I've now analysed to determine the relationship between each sandwich variable, and some other things along the way.
We also tested for interactions between each perception variable and each contextual variable.
15 We also checked for interactions between each mediating variable and each ethnic density variable.
A bivariate analysis was performed between each dependent variable and the independent variables so as to determine the independent variables that were associated with each dependent variable.
Poisson regression models were computed to determine the bivariate association between each independent variable and each dependent variable.
Subsequently, interactions between each variable and glycaemia intervention were investigated.
*Largest absolute correlation between each variable in respective function.
As for the other independent variables, there was no significant correlation between INR and each variable.
Relationships between cortisol measures and psychosocial variables were analysed using dummy-variable linear regression models.
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