Examples of using Logistic regression in English and their translations into Bulgarian
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Logistic Regression in Python.
Based on a logistic regression.
Logistic regression is applicable, for example, if.
Based on a logistic regression model.
Sample application for creating and fitting Logistic Regression models.
Multiple Logistic Regression Analysis.
Following the approach of Kuss Kuss O: How to use SAS for logistic regression with correlated data.
Logistic regression analysis was used to identify factors associated with RTW.
Based on a logistic regression model.
Logistic regression analysis was done to identify factors associated with QoL.
Selection of an appropriate logistic regression equation;
Multivariate logistic regression analyses were performed to determine factors associated with VDD.
Odds ratio(lipegfilgrastim/ placebo), CI andp-value out of multivariate logistic regression analysis.
B aModel estimates by logistic regression bp-value< 0.0001.
A logistic regression was used to calculate the probability for each individual to be enumerated between 2017 and 2018.
D p< 0.001;compared to vehicle by logistic regression with treatment, study and anatomical location.
Logistic regression revealed a statistically significant association between nintedanib exposure and DCE-MRI response.
IDR a Primary endpoint from logistic regression adjusted for loading dose and patient status.
D The Overall p-value is based on a Cochran-Mantel-Haenszel test;the nominal p-value for the with clobazam subgroup is based on logistic regression analysis.
P-value a a Logistic regression model adjusted for randomisation stratification variables.
Wald p-values are quoted for the comparison of treatments using logistic regression with factors for treatment and region.
A multivariate logistic regression analysis of smoking and BMI showed an odds ratio of 19.25.
Confidence interval around observed difference of response rates; P-value<0.0001 from logistic regression model, including stratification factors.
If you believe logistic regression might work try it using a small set of information and see how it does.
The weights of the enumerated persons were adjusted with the probability of following up(result of logistic regression) and thus the base weights(RB060) for 2018 were get.
Based on logistic regression with treatment effect and adjustment for each subject's age at screening and HFMSE score at baseline.
In terms of the statistical analysis, the researchers used"survey-weighted linear and logistic regression analyses" with pet ownership as the main variable.
In this case, Blumenstock used logistic regression, but he could have used a variety of other statistical or machine learning approaches.
CR=complete response; PR=partial response p-value for PFS/OS based on stratified log-rank test;p-value for Objective Response Rate based on logistic regression.
These response rates were based on a logistic regression model where missing data were imputed using multiple imputation(MCMC method).