Sentence examples for binary logistical regression models from inspiring English sources

Multivariate binary logistical regression models predicting disease severity were constructed using patient characteristics, adjusted NPA cytokine concentrations and adjusted NPA hRSV load (table 3).

Multivariate binary logistical regression models were constructed for two previously accepted definitions of severe disease "any need for supplemental oxygen including ventilation" and "any need for mechanical ventilation" [11], [22], [23].

We will use descriptive data analysis along with t-tests, chi-square tests, Mann–Whitney-U tests, and multivariate linear and binary logistical regression models.

OR (95% CI) and Siga, Sigb value were calculated using a binary logistical regression model adjusted for sex, age, smoking, and drinking with normal versus non-dampness-phlegm, normal versus dampness-phlegm.

Primary analyses included factorial gender×SOB ANOVAs or binary logistic regression models for each dependent trait.

Binary logistic regression models.

The direct binary logistic regression models used only significant variables.

Essentially, four separate predictive binary logistic regression models were calculated.

The associations between ERI and single risk factors were explored using binary logistic regression models.

In addition univariate binary logistic regression models were calculated of CSF parameters in each patient group.

The relationship between severity in hospitalized patients and genotypes was evaluated by binary logistic regression models.