Examples of 'using logistic regression' in a sentence
Meaning of "using logistic regression"
Using logistic regression: A statistical method for analyzing a dataset in which the outcome variable is categorical and the predictors are continuous or categorical
How to use "using logistic regression" in a sentence
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using logistic regression
Predicting customer churn using logistic regression.
Using logistic regression in multi-class classification problems.
Adjustments were made using logistic regression.
The data relating to complications were examined through multiple regression analysis using logistic regression.
Adjustment was performed using logistic regression on logarithmically transformed concentrations.
All measures of association were assessed using logistic regression.
The PS was obtained using logistic regression with ICP measurement as the outcome.
Biomarkers were combined into models using logistic regression.
Adjustment was performed using logistic regression on logarithmically transformed concentrations . Results.
Factors associated with hypothermia were analyzed using logistic regression.
The predictors of trajectories obtained using logistic regression are socio-demographic, medical and biological criteria.
Factors associated with steatohepatitis were evaluated using logistic regression.
A multivariate analysis using logistic regression by the backward method is presented in Table 6.
The quantification of association was measured using logistic regression models.
Then, multivariate analysis using logistic regression was performed and the odds ratios OR were obtained.
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Gambling behavior thresholds were tested using logistic regression.
Data were analyzed using logistic regression and Pearson 's correlation with the SPSS statistical package.
The multivariate analysis was performed using logistic regression models.
The model built using logistic regression yielded 73.5 % accuracy for identifying abdominal injuries.
A weighted risk score was constructed using logistic regression coefficients.
Current smoking was assessed by demographic characteristics, and independent associations were examined using logistic regression.
The risk of prostate cancer was calculated using logistic regression methods that were conditional.
Trauma mechanism was also a variable included in the multivariate analysis using logistic regression.
Multivariate analysis was performed using logistic regression method of Mantel-Hansell.
The influence of each milk component in alcoholic instability was also assessed using logistic regression.
The risk of return-to-service was assessed using logistic regression or survival analysis models.
Association of na with socio-demographic and clinical variables was performed using logistic regression.
Odds ratio and its 95 % CI obtained using logistic regression stratified by age subgroup.
The relationship between identity diffusion and experienced happiness was examined by using logistic regression analysis.
But there is a better approach, using logistic regression instead.
Any association with self-reported cardiometabolic comorbidity 11 years later was assessed using logistic regression.
Non-adjusted and adjusted1 group comparison using logistic regression analysis . Non-adjusted.
Univariable and multivariable odds ratios were estimated using logistic regression.
Frequency distributions were analyzed with genmod of sas using logistic regression for binomial data.
Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression.
SuPAR as prognostic marker was analysed using logistic regression analysis.
Identification of feeding status of shirmp Litopenaeus vannamei farmed by using logistic regression.
In Figure 103 we examine this question using logistic regression analysis.
Candidate markers for safety were tested for association to Hypertension using logistic regression.
Crude and adjusted risks were calculated using logistic regression.
In the last phase of the study, multivariate analysis was conducted using logistic regression.
Binary responses of individual trees were modeled using logistic regression analysis.
Table 3 presents the variables studied according to the multivariate analysis using logistic regression.
How about if we were doing a classification problem and say using logistic regression instead.
The role of confounding factors and effect-modifying variables was minimized by using logistic regression.
The probability of successful desistance was predicted using logistic regression analysis.
The association between symptom group and BQSS sub-scales was examined using logistic regression.
After that, the analysis was conducted by using logistic regression.
The variables with an association of up to 25 % were evaluated together using logistic regression.
Risk score calculation - A numerical score was formulated using logistic regression coefficients.
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Regression analysis was used to estimate this effect
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