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Data were analyzed using multiple regression.
Data were analyzed using multiple meditational modeling.
The variables were statistically analyzed using multiple regression technique.
Data were analyzed using multiple logistic regression methods.
Data were analyzed using multiple linear regression procedures.
Data were analyzed using multiple regression and principal components analyses.
Baseline to follow-up change was analyzed using multiple regression techniques.
The effect of students' participation on their academic achievement was analyzed using multiple regressions.
The relationship between age, refractive error, gender, ethnicity, and the study variables were analyzed using multiple regression analysis.
The relationship between leaf parameters and turf indexes was analyzed using multiple linear regression in a stepwise procedure.
The authors applied a Genetic Algorithm (GA) to independently select the most efficient combination of the molecular descriptors which were then analyzed using multiple linear regression.
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