Examples of using Binary logistic regression in English and their translations into Portuguese
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However, binary logistic regression revealed that only total length of hospital stay was significantly associated with the presence of infection.
Afterwards, the binary logistic regression was used again, adjusted for BMI,
Later, the multiple analyses with the binary logistic regression were carried out with the manual backward-forward stepwise strategy.
A binary logistic regression model enter method was used to identify characteristics predictive of incorrect inhaler technique.
Univariate binary logistic regression analysis was applied
Binary logistic regression models, which predict the presence
The binary logistic regression model was adjusted to assess possible risk factors for UI.
In the multivariate analysis, binary logistic regression was used with dichotomized TC as an outcome.
Binary logistic regression analyses, in gross odds ratio
Data were analyzed using binary logistic regression, and variables were selected using a stepwise procedure.
Binary logistic regression was also used to analyze the association between the dichotomous classifications of MDI and EAT-26.
The main hypotheses were tested using binary logistic regression and robust estimators
Descriptive analyses and binary logistic regression models were estimated for the dependent variables"be enrolled in school" and"be in situation of age-grade di.
Multivariable analysis was done using the binary logistic regression, considering the occurrence of abdominal obesity as the outcome.
By binary logistic regression analysis, it was demonstrated that both variables gender
When customization was performed using binary logistic regression, the relationship between the two systems was NEMS 4.25+ 1.04 x TISS-28.
A binary logistic regression was conducted to analyze the dichotomous classifications provided for MPS MPS>= 153.00 and EAT-26 EAT>= 20.
Table 3 displays the binary logistic regression for the confirmed diagnosis of pulmonary TB using IS.
Finally, we performed a binary logistic regression analysis including the main risk factors for extubation failure.
Multivariate analysis was performed using binary logistic regression, taking overweight