Sentence examples for both binary logistic regression from inspiring English sources

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Both binary logistic regression and signal-detection theory were used to analyse response probabilities.

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The discussion is focused on factors that were statistically significant after controlling for all independent variables both in the binary logistic regression and multinomial logistic regression models on alcohol consumption in the past week.

For both ethnicities, similar binary logistic regression analyses based on late DI parameters demonstrated glucose disposal t60 210 as the most discriminating variable (data not shown).

Because the outcomes in both cases were binary, logistic regression was used to estimate model parameters and a method proposed by Zheng and Agresti [ 23] using correlations was used to compare model fit (the predicted values for the outcome are correlated with the observed values - the higher the correlation the better the fit of the model).

Both descriptive analysis and binary logistic regression were conducted.

Both results of the binary logistic regression and multinomial logistic models were presented as odds ratio with their corresponding 95% confidence intervals (CI).

Table  3 show the results of both univariate and multivariate binary logistic regression examining the role of need level, diagnosis of psychotic disorder, sex, ethnicity, access to family physician and diagnosis of substance dependence in predicting the level of 30-year risk in our sample (low vs. higher risk).

Mann-Whitney's U test and Fisher's exact test were applied (a error was 5% in both cases), as well as binary logistic regression for multivariate analysis.

Table  3 shows the association of the UACR tertiles with the value of CIMT and the presence of carotid plaques based on both multiple linear regression and binary logistic regression analyses.

Gender, age and pubertal stage adjusted both multivariable models (linear regression and binary logistic regression).

All variables except caffeine and exercise habits were evaluated using both multiple linear hierarchical regression and binary logistic regression.

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