Examples of using Using logistic regression in English and their translations into Portuguese
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Adjustments were made using logistic regression.
The model built using logistic regression yielded 73.5% accuracy for identifying abdominal injuries.
After that, the analysis was conducted by using logistic regression.
The PS was obtained using logistic regression with ICP measurement as the outcome.
This analysis was performed in three stages, using logistic regression.
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Then, multivariate analysis using logistic regression was performed and the odds ratios OR were obtained.
Crude and adjusted odds ratios(ORs)were obtained using logistic regression.
Odds ratios were calculated using logistic regression with a polytomous outcome.
Factors associated with steatohepatitis were evaluated using logistic regression.
Multivariate analysis was performed using logistic regression, and the level of significance was 5.
Trauma mechanism was also a variable included in the multivariate analysis using logistic regression.
Multivariate analysis was performed using logistic regression method of Mantel-Hansell.
The data relating to complications were examined through multiple regression analysis using logistic regression.
Using logistic regression, we estimated this cutoff at 0.45 cm, which corresponds to an accuracy of 66.
Factors associated with hypothermia were analyzed using logistic regression.
Using logistic regression, we estimated this point at 517ml/min, which corresponds to an accuracy of 85.
The allelic andgenotypic frequencies were compared using logistic regression techniques.
The sequence was examined using logistic regression to calculate the minimum effective concentration for 90% of cases.
Odds ratios and95% confidence interval were calculated using logistic regression.
Moreover, the analysis can be conducted using logistic regression, enabling the model to be extended to a multivariate model.
Association of na with socio-demographic andclinical variables was performed using logistic regression.
Estimate the probability of intake using logistic regression and the total daily intake using linear regression. .
In another approach,we also evaluated the tendency to present with moderate or severe pruritus, using logistic regression.
A multivariate analysis was carried out using logistic regression analysis in which the initial model was composed of the variables with p.
To assess the significance of the variables on the probability of having a poor neurological prognosis,we performed multivariate analysis using logistic regression by the Forward: LR method.
Using logistic regression, we found that the only association of variables that can predict the outcome SUI were weight and hysterectomy.
In the first part, the probability of consumption is estimated using logistic regression with random effects(probability model);
By using logistic regression, we observed that the presence of fibrosis on ECG increases 19 times the risk of acute rejection OR 19; 95% CI 1.65-218.47; p 0.02.
Univariate and multivariate analyses were conducted, using logistic regression with a view to developing SSI prediction models.
Using logistic regression analysis, however, abnormal Hb1Ac values and smoking were factors discriminating patients with CAD in this population Table 2.