Exemplos de uso de Binary logistic regression em Inglês e suas traduções para o Português
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Binary logistic regression was used p< 0.05.
In the multivariable analysis, binary logistic regression was used.
Binary logistic regression was used in the other situations.
The multivariate analysis was calculated using binary logistic regression.
The results of the binary logistic regression are presented in Table 4.
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Multivariate analysis was calculated by means of binary logistic regression.
Therefore, binary logistic regression was employed using the backward method.
The variables with p<0.10 were subjected to binary logistic regression model.
For this purpose, binary logistic regression through the backward LR method was used.
Table 3 shows VAP-related factors,selected by binary logistic regression.
Binary logistic regression models Enter method were run with all these variables.
Analyses were carried out by using Chi-square tests and binary logistic regression.
A binary logistic regression was used to express the degree of association between variables.
A multivariate analysis was performed using binary logistic regression through the Enter method.
Binary logistic regression was employed and the odds ratio OR and 95% confidence interval were estimated.
In all analyzes,was conducted binary logistic regression with correction for the design effect.
The odds ratios(OR) and confidence intervals(CI)95% were calculated by binary logistic regression.
For multivariate analysis, binary logistic regression was used, and the entry criteria for all variables was p.
The control of possible confounding factors was performed by binary logistic regression.
The multivariate binary logistic regression was used to analyze the influence of sociodemographic variables with p.
In the analysis of the data were employed the pearson's chi-square test and the binary logistic regression.
Later, the multiple analyses with the binary logistic regression were carried out with the manual backward-forward stepwise strategy.
The multivariate analysis was performed using Poisson regression and binary logistic regression.
In multivariate analysis,we used binary logistic regression, adopting physical inactivity in commuting to work as an outcome.
The statistical method identified for investigation anddetection of the goal in the research is the binary logistic regression.
All variables with a p value<0.05 were weighted by binary logistic regression for the determination of independent predictors.
Quantitative, data from this study were analyzed by means of descriptive statistics and model of binary logistic regression.
A binary logistic regression showed an OR of 2.72 p 0.000 when the catheter is inserted for more than 48 hours, contrasting with the previous study.
Associations between perinatal/neonatal factors and symptoms of anorexia nervosa andbulimia nervosa were assessed by binary logistic regression.
Binary logistic regression was used to obtain an adjustment of the estimated odds ratio and find which risk factors were independently associated with AKI.