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Outcomes will be analyzed using multilevel analyses based on intention-to-treat principles.
The effect of the intervention on observed HH compliance will be analyzed using multilevel logistic regression.
Given that the data concern observational units at different levels (individual, neighborhood), the data will be analyzed using multilevel techniques [ 41- 43].
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Data were analyzed using multilevel, multivariable logistic regression.
The associations of injury severity, occupant, crash and vehicle characteristics were analyzed using multilevel logistic regression to generate odds ratios with 95%% confidence intervals.
Adolescent participants and adult residents representative of their neighborhoods were surveyed before and after the intervention; data were analyzed using multilevel modeling.
Data were analyzed using multilevel (random- and fixed-effects) regression models with adjustment for age (year), height (cm), and weight (kg) or lean mass (kg).
Data were analyzed using multilevel modeling.
Questionnaire responses were analyzed using multilevel modeling and path analysis.
The data were analyzed using multilevel logistic regression models.
Data were analyzed using multilevel logistic regression analyses.
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