Примеры использования Logistic regression на Английском языке и их переводы на Русский язык
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Logistic regression.
It is used as a descriptive statistic, andplays an important role in logistic regression.
Conditional Logistic Regression COXREG procedure.
The joint effect of all variables was identified by a multivariate logistic regression model.
By means of logistic regression analysis A.-K.
This covers the theory, practice,interpretation and reporting of logistic regression results.
Logistic regression and discriminant analysis.
Odds ratios(with 95% CIs)for myocardial infarction were calculated using logistic regression.
We offer a logistic regression analysis for the quantitative description of the system.
The methodology of implementation uses partially classified data and the logistic regression generalization.
Logistic regression is one way to generalize the odds ratio beyond two binary variables.
One of methods of quantitative estimates of probability of landslide is the logistic regression models.
The variables, used in the logistic regression equation, had the characteristics presented in Table 1.
Since then, these methods have been extended to other models such as support vector machines or logistic regression.
Linear and logistic regression models were used to estimate associations with reproductive factors.
Commonly employed statistical techniques for such models include logistic regression and neural networks.
In logistic regression analyses, the presence of MBs was the only independent predictor of executive dysfunction.
For the binary case, a common approach is to apply Platt scaling,which learns a logistic regression model on the scores.
Unconditional multivariable logistic regression was used to examine the relationship between case-control status and smoking.
Analysis executed on the basis of a mathematical model of mental development as temporary system as a system of logistic regression analysis.
Binary Logistic Regression Analysis was used to estimate odds ratio of pregnancy outcome with its predictors including Vitamin D.
The table includes the adjusted R square for the linear regressions andthe Cox and Snell R square for the logistic regression.
The logistic regression model allows the calculation of the minimal acceptable cost of HCT, having non-random impact on HCT outcome, under which the probability of a positive outcome is 50.
Multivariable logistic regression estimated odds ratios(OR) and 95% confidence intervals(95%CI) of associations between exposures and Barrett's esophagus.
This site contains many topics such as ANOVA, ANCOVA, Cluster Analysis,Correlation, Correspondence Analysis, Logistic Regression, Logit, Probit models, etc.
Logistic regression analysis found that controlled hemodilution is associated with increased energy metabolism at the stage prior to surgery for traumatic stage and after the intervention.
The author's findings from empirical research using conditional logistic regression confirm that the experience of migration reduces migrants' sensitivity to the host region's economic characteristics.
Logistic regression connects event probability with independent variables(predictors), the impact of which was described in the previous section.
In the explorative variant, survival probability is calculated based on the logistic regression equation using the coefficients allowing taking into account the contribution of every indicator to the outcome 48.