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This paper describes an empirical study aiming at identifying the main differences between different logistic regression models and collision data aggregation methods that are commonly applied in road safety literature for modeling collision severity.
Yet, the response patterns of the different questionnaire items did not differ significantly between schools with low and high response rates when different logistic regression models were applied to the data [ 4, 5].
The AIC is used to compare different logistic regression models for different biomarkers (individually or in combination).
Different logistic regression models in Table 2 showed the attempts to clarify the interaction between gender and hemoglobin level on ALT elevation.
We fit two different logistic regression models.
Smaller Akaike criteria value was used for the selection between different logistic regression models.
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We trained a different logistic regression model for each type.
In light of the hypothesis of a different role of NT-proBNP in the pathogenesis of different complications, logistic regression models were also fitted separately for each complication.
In light of the hypothesis of a different role of anti-HSP27 antibodies in the pathogenesis of different complications, logistic regression models were also fitted separately for each complication.
To examine whether differences exist between men and women or different races, logistic regression models were conducted accounting for age, sex, race, and stage of the disease at the time of diagnosis.
Table 2 compared the odds ratio (OR) and 95% confidence interval (95% CI) for risk factors associated with elevated ALT among three different multivariate logistic regression models.
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