Exemplos de uso de Logistic regression technique em Inglês e suas traduções para o Português
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Data were analyzed by multiple logistic regression techniques.
The polytomous logistic regression technique was applied to assess factors associated with VAD.
The overall effect of all variables was analyzed using the logistic regression technique.
Associations were tested by binary logistic regression technique adopting a significance level of 5%¿.
Logistic regression techniques were used to investigate the association between average incidence of sick leave.
Association between motor performance andfrailty tests was verified by binary logistic regression technique.
Through the use of logistic regression technique, concluded a company with highest level of corporate governance has more chance of paying interest on equity.
Adjustment for potential confounding variables variables significantly associated with the dependent variable in the bivariate analysis was performed using the multivariate logistic regression technique"step by step.
For the multivariate model a logistic regression technique was employed, verifying the influence of qualitative variables, that had a p.
Odds ratios OR and 95% confidence intervals CI 95% were calculated to test for associations between dependent variables and the presence of pressure ulcers,using the multivariate logistic regression technique.
Three models were constructed using the logistic regression technique, controlled by the variables age and sex, including the variables weight, BMI and AC, respectively.
Following a trend found in the selected articles, we chose to use decision trees as the primary classification algorithm,although comparative studies showed better results with logistic regression techniques and bayesian networks.
The non conditional logistic regression technique was chosen as showed to be more appropriate for low magnitude events, as verified for the prevalence of obesity.
The objective of the present study was to identify factors associated with non-melanoma skin cancer NMSC in the city of Taubaté, state of São Paulo SP, Brazil, using a hospital-based case-control study and a hierarchical logistic regression technique.
Logistic regression technique was used to analyze the relation between variables and lymphedema severity, with the adoption of p value below 0.05 for statistically significant factors.
After the descriptive analysis and the univariate analysis, the variables presenting a value of p<0.10 were included in the multivariate analysis using the logistic regression technique, and values of p< 0.05 were considered statistically significant.
The binary ordichotomous nature of this variable allows the use of logistic regression techniques in model development, although other techniques, including Bayesian analysis, Cox binary regression and neural nets may also be used.
The proposal is compared to other commonly used learning modalities, such as the backpropagation algorithm and the recently proposed"extreme learning machines"(elm) and"optimally-pruned extreme learning machines"(opelm) techniques, as well as the linear logistic regression technique.
Descriptive statistical methods, but also correlational and logistic regression techniques, were used to measure the relation between political variables concerning coalizion, political parties and political positions within the senate structure or outside i.
Used the Ordinary Kriging methodology to create a variable that reflects spatial risk and applied the Logistic Regression technique to verify the existence of a spatial correlation in defaults on loans taken out by small and medium sized enterprises SMEs, using data from the SERASA credit bureau.
For the multivariate analysis,the multiple logistic regression technique was used, considering the outcome variable as the presence of spirometric alterations and the following as independent variables: gender of child, maternal and paternal level of education, number of rooms and bedrooms in the house, number of maternal pregnancies, family income, and report of"wheezing" episodes during pregnancy.
Subsequently, multivariate analysis was performed using the logistic regression technique. The magnitude of association between associated factors and the occurrence of dyslipidemia was described in Odds Ratios OR and respective 95% confidence intervals 95%CI.
In order to adjust the confounding factors, a logistic regression technique was used, following a hierarchical analysis model with four levels, and for the independent variable to be a part of the set model, it would require a significance of p< 0.20 in raw analysis.
The overall objective of the study is to carry digital soil mapping using multiple logistic regression technique in morros sea environment in pinheiral(rj) and evaluate whether this method allows to obtain good accuracy of the maps and other soils information and provides material basis taking decision about the rational use of natural resources.
We next applied the logistic regression statistic technique to include the independent effect of variables identified in the bivariate analyses stages as being associated or being borderline associated p< 0,15 with dropout.
The theory of planned behavior(tpb) with the logistic regression statistical technique is adopted to define variables that influence the frequent use of bicycles among 500 non cyclists and potential cyclists of two institutions of recife, cesar(technological innovation company) and ufpe.
In the Central-Western region of Brazil, it was observed,by crossing information from different databanks, utilizing the technique of logistic regression, that being born in a public state hospital was a risk factor for mortality in the neonatal period.