Sentence examples for using univariable logistic regression from inspiring English sources

Potential risk factors were screened using univariable logistic regression prior to multivariable model building.

Odds ratio, 95% CI and p values are calculated using univariable logistic regression towards the primary endpoint for the purpose of constructing a clinical risk model.

The relationships between potential predictors and dog ownership status were examined using univariable logistic regression.

Associations between individual characteristics and screening uptake were analysed using univariable logistic regression.

These associations were further explored using univariable logistic regression to generate ORs and 95% CIs.

Continuous variables and their associations with the endpoints were assessed using univariable logistic regression analysis.

We used univariable logistic regression to test the association between early normocapnia and good neurological function at hospital discharge.

Initially we used univariable logistic regression to identify factors that were associated with food insecurity.

As individual-level data were not available for all individuals in the reference group of non-study registrants, we used univariable logistic regression with aggregate data to compare participants with non-study registrants.

To reduce heterogeneity in the outcome variable, we also used univariable logistic regression to study the relationship between all forms of IPV and miscarriage timing: "early" (before 13 weeks) versus "late" (from 13 to 28 weeks).

We used univariable logistic regression analysis to examine the associations of demographic and anthropometric variables, and mammographic measures of percent density, dense area and non-dense area with the relative frequency of interval breast cancer compared to screen-detected breast cancer.