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Negative binomial regression and multinomial logistic regression were employed to evaluate the students' weekday and weekend travel.
Moreover, Multiple linear regression were employed to observe relationships between demographic indicators (i.e. age of household head, gender of household head, education of household head, family size) loan amount, management attributes and monthly income of target households.
Univariate and multivariate logistic regression were employed to analyze the relationship between age and LN.
Both Ridout and Fairclough logistic regression were employed.
Bivariate and multivariate logistic regression were employed to determine risk factors for M. tuberculosis bacteremia.
More specifically, the regression routine and the subroutine of nonlinear regression were employed.
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Hierarchical multiple regression was employed to test the other hypotheses.
A simple OLS regression is employed as a base model.
Logistic regression was employed to evaluate the association between BS and AA, adjusted for covariates.
The most commonly used criterion which applies linear estimators for regression was employed.
First, stepwise multiple liner regression was employed as a descriptor selection procedure.
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