Examples of using Logistic regression models in English and their translations into French
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Logistic regression models.
They are binary logistic regression models.
Logistic regression models were.
Table 3 shows the results of logistic regression models.
Logistic regression models were constructed.
Statistical analysis included multiple logistic regression models.
Logistic regression models were also used.
The result is $M-1$ binary logistic regression models.
Logistic regression models were adjusted for age and sex.
This measure was not included in the logistic regression models.
Multivariate logistic regression models were used in the analysis.
Age was entered as a continuous variable in the logistic regression models.
Multivariate logistic regression models were adjusted for age and gender.
These people were therefore not represented in the logistic regression models.
Logistic regression models were developed in each exposure group.
Both of these effects remained significant in logistic regression models.
Logistic regression models were used to detect trends over time.
Threshold cannot be used with multiclass logistic regression models.
Different independent logistic regression models were developed for men and women.
Therefore, this measure was not included in the logistic regression models.