Examples of using A logistic regression in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
A logistic regression model was used to adjust for age,
A logistic regression evaluated the influence of the independent variables regarding to skipping meals,
A logistic regression showed that leptin acted as a predictive factor for asthma.
which was entered into a logistic regression model with the GRACE score.
The variables are included as exposure variables in a logistic regression model with the intervention as the outcome.
Multivariate analysis was made by the construction of a logistic regression model with calculations of the adjusted OR.
using a logistic regression model.
because the model does not work with data as in a logistic regression.
the ranking of their relative importance was established by means of multivariate analysis with a logistic regression.
governance indicators are relevant to foresee the stages of financial stress of companies by using a logistic regression.
knowledge of the participants, a logistic regression was conducted,
So were performed descriptive statistics and developed a logistic regression, on panel data analysis.
For the multivariate analysis a logistic regression model was adjusted including age≤ 40 or.
Variables with p< 0.20 in the univariate analysis were submitted to a logistic regression model, shown in Table 3.
A logistic regression was performed to assess the influence of protocol use on the diagnosis of neonatal sepsis confirmed
To investigate the risk of neonatal death we performed a logistic regression, with an odds ratio estimate for the combined variable of maternal education
A logistic regression Table 5 was performed to ascertain the effects of surgical procedure,“worst”,“least” and“now” pain pre
We performed a logistic regression controlling for possible confounding factors in order to confirm whether the findings of chronotropism variation previously associated with diabetic retinopathy would remain statistically significant.
Was analyzed the profile of respondents willing to pay with a logistic regression to determine which variables segmentation influenced significantly in the decision between being willing to pay