Examples of using Using logistic regression analysis in English and their translations into Portuguese
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We estimated the effect of each independent variable on the results by using logistic regression analysis.
Using logistic regression analysis, we observed that the microalbuminuria, and not age, has the greatest association with cardiac lesions p=0.005 Table 6.
The association between prognostic factor andoutcome was determined using logistic regression analysis.
Using logistic regression analysis, however, abnormal Hb1Ac values and smoking were factors discriminating patients with CAD in this population Table 2.
The crude andadjusted odds ratios for the studied association were estimated using logistic regression analysis.
Using logistic regression analysis to evaluate the smokers and former smokers collectively Table 2, we determined that the independent risk factors for smoking were male gender p< 0.001, attending a non-medical vocational high school p 0.002, having a sibling who smokes p< 0.001, having a friend who smokes p< 0.001, and poor academic performance p 0.0013.
The association between the study factor(parity) and the outcome of interest(obesity)was tested using logistic regression analysis.
Baseline clinical andlaboratory characteristics of the two groups were compared using logistic regression analysis for categorical variables and analysis  of covariance for continuous variables.
The associations between tertiles of hgs with self-reported morbidities were estimated by odds ratios(or) using logistic regression analysis.
Both were created by Le Gall and collaborators based on adatabase of European and American ICUs, using logistic regression analysis to select statistically significant variables to preview mortality.
On the other hand, despite a greater NPLD appears obvious to improve detection rates of lymph node metastasis, we did not find a significant correlation between NPLD andnodal status using logistic regression analysis.
The existence of an association between dysphagia and aspiration risk with the univariate andmultivariate variables was evaluated using logistic regression analysis, with the associations shown as Odds Ratio OR.
The exploration of possible associations between variables andaccidents at work in this occupational category was performed using logistic regression analysis.
The data relating to complications were examined through multiple regression  analysis using logistic regression.
For the evaluation of associated factors, we used logistic regression analysis.
For the multivariate analysis  of risk factors for the development of PH we used logistic regression analysis.
This is the first Brazilian study to use logistic regression analysis for the development of a risk assessment scale for pre-renal transplant patients.
Then, multivariate analysis using logistic regression was performed and the odds ratios OR were obtained.
The association of ipv and mep was estimated by the crude and adjusted odds ratio, using the logistic regression analysis.
We explored the association of rs13010956 with the MetS phenotype using binary logistic regression analysis adjusting for sex, age, and smoking.
Finally, an important limitation of this study was the lack of multiple analysis using logistic regression.
The expected operative mortality was obtained using the logistic regression analysis applied to the standard EuroSCORE relative to operative mortality.
Next, the risk factors associated with change in type of HC and that influence RAS-AD care management were identified using multivariate logistic regression analysis for selecting stepwise regression  significant variables.
Regarding the type of analysis, most studies performed only comparative analyses using  statistical significance tests and three used multiple logistic regression analysis.
For data analysis,  we performed univariate analysis using  chi-square test and multivariate analysis using multiple logistic regression models not conditioned.
We performed bivariate analysis using logistic regression and multivariate analysis using  hierarchized regression;  results are given in odds ratios.