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Binary logistic regression model was used for analysing data.
To find factors affecting route diversion, researchers applied a binary logistic regression model.
A binary logistic regression model was employed to analyze the collected data.
As confirmation, we used a binary logistic regression model.
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.
The association between travel mode to school and distance from home to school at each time point was studied using binary logistic regression.
Table 4 Binary logistic regression results.
Binary logistic regression was applied [18].
Binary logistic regression analysis confirmed intervention effects exceeded confounding effects.
Both descriptive analysis and binary logistic regression were conducted.
Binary logistic regression was selected to model the hypotheses.
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