Exemplos de uso de Logistic regression model was used em Inglês e suas traduções para o Português
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SPT with respect to tIgE, a simple logistic regression model was used, in which the log-transformed tIgE value was the explanatory variable.
A logistic regression model was used to identify ancillary variables that did not present any missing information
In multivariate analysis, a logistic regression model was used to determine factors associated with UI, with all variables that presented a statistical significance of at least 20% p.
The logistic regression model was used to determine independent predictors of death within 30 days post-implantation,
A logistic regression model was used to determine the coronary artery disease risk by the number of risk alleles compared to the number of reference alleles 23 alleles,
A multivariate logistic regression model was used to estimate the association between explanatory variables
With the aim of comparing the proportions of perceptions of long-term illness among the individuals who reported one of the six diseases, according to their self-rated health, a multiple logistic regression model was used.
Finally, a logistic regression model was used, with 95% confidence interval, having the same reference
Then, multivariate logistic regression models were used to identify the independent associations.
Logistic regression models were used considering mortality as the dependent variable.
Logistic regression models were used in order to identify disease-related factors.
Logistic regression models were used for data analysis.
The logistic regression models were used to study the association between significant coronary lesions,
Logistic regression models were used to identify factors associated with psychotropic drug use,
Logistic regression models were used to explore the association of spirituality to an adequate level of adherence REMADHE>= 18 points.
To estimate the association of the independent parenting styles with the dependent variables use of cigarettes in the previous month or frequent use of cigarettes, logistic regression models were used.
Logistic regression models were used in the statistical evaluation in order to evaluate the associations between the variables hospital discharge
Differences in the distribution of self-rated health according to the age group and sex were tested. Logistic regression models were used to test the effects of educational level,
A logistic regression model was used for the multivariate association analyses.
A multiple logistic regression model was used in order to assess the ability of each independent variable to predict the expected outcome in-hospital mortality.