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For this purpose, a binary logistic regression analysis prior to the bivariate analyses was performed.
For this purpose, a binary logistic regression model was applied to evaluate the differences observed in the prevalence of different comorbidities between the DLB and AD groups adjusted for the baseline confounders.
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The use of a binary logistic regression model revealed two SNPs that are predictive of AIEC phenotype (Table 5).
Specifically, a binary logistic function was used to analyze the utilitarian responses as dependent variables.
When this is dichotomic, a binary logistic regression analysis will be made, and for this purpose we will establish the dummy variables needed for the categoric predictors.
A factorial discriminant analysis and a binary logistic regression were performed as further analyses.
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.
The first stage uses a binary logistic model to determine the overall crash severity level.
As for detailed analysis, lane blockage probability is interpreted by using a binary logistic regression model.
A binary logistic regression model was built to explore factors that influence bicycle crashes.
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