Примеры использования Logistic regression на Английском языке и их переводы на Русский язык
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Logistic regression connects event probability with independent variables(predictors), the impact of which was
Correlation, Correspondence Analysis, Logistic Regression, Logit, Probit models, etc.
Since then, these methods have been extended to other models such as support vector machines or logistic regression.
Binary Logistic Regression Analysis was used to estimate odds ratio of pregnancy outcome with its predictors including Vitamin D.
During the courses I learned to estimate multilevel logistic regression models, which are especially important in improving the project on predictors of national pride that I am currently working on.
Logistic regression analysis found that controlled hemodilution is associated with increased energy metabolism at the stage prior to surgery for traumatic stage
such as those involving the categorical distribution and multinomial logistic regression, assume that the number of categories is known in advance,
using a logistic regression model;
We examined these interactions using logistic regression with backward elimination,
Logistic regression revealed typical HIV infection progression in patients to be significantly associated with OAS2 rs2072137 polymorphism and age.
Pearson's criterion and logistic regression.
linear and logistic regression, decision trees,
In addition, the studies based on logistic regression of the treatment results in 3709 patients with anterior abdominal wall hernias have revealed the patients with preoperative mechanical preparation of the colon to be likely to develop wound infection within 30 days after surgery 31.
The independent variables of kNN method are chosen by logistic regression, because this method allows narrowing the vast number of administrative and calculated variables,
The chosen method, multilevel multinomial logistic regression, allows, first,
as dependent variables in logistic regression or probit regression,
While commonly used for statistical analysis of proportional data, the arcsine square root transformation is not recommended because logistic regression or a logit transformation are more appropriate for binomial
were built logistic regression models to predict the development of the situation with cerebral stroke in within the next 7 years.
although, in practice, a logistic regression model is often used as the combiner.
survival probability are calculated based on the logistic regression equation taking into account injuries scored AIS>3 in three categories: