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To predict active school travel (0=inactive modes, 1=active modes), and PWTS (0=long, 1=short) two binary logistic regression analyses were carried out.
Univariate binary logistic regression analyses were conducted to test the association between each covariate and the outcome [19].
Binary logistic regression analyses were carried out to identify any factors associated with the choice of a retention according to the length of the work experience.
The factors that were significantly associated with migraine or TTH were included as predictor variables for two separate multivariable binary logistic regression analyses, each controlling for birthweight status.
Multivariate binary logistic regression analyses.
Descriptive and binary logistic regression analyses were conducted.
Multivariate analysis was performed using binary logistic regression analyses.
Figure 2 displayed results of binary logistic regression analyses.
Descriptive statistics and binary logistic regression analyses were conducted.
For binary logistic regression analyses, c-statistics are reported.
Binary logistic regression analyses were conducted to obtain univariate and multivariate effect sizes (odds ratio, OR).
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