Sentence examples for binary logistic regression modelling from inspiring English sources

Binary logistic regression modelling incorporating transrectal biopsy parameters showed no statistically significant predictive variable.

It is an observational study involving secondary analysis of maternity records, using binary logistic regression modelling.

We examined the effect of the individual level variables, and the kebeles using a two-level binary logistic regression modelling.

Binary logistic regression modelling with silicosis (1=present, 0=absent) as a dichotomous outcome was used to estimate associations with the explanatory variables.

On binary logistic regression modelling that incorporated transrectal biopsy parameters, we found no statistically significant predictive factor for focal therapy suitability.

We first performed bivariate analyses to look for crude associations in the data, followed by Mantel-Haenszel analyses, before going on to complete multivariate analyses using binary logistic regression modelling.

Binary logistic regression modeled risk of falling as function of number of chronic conditions.

Multivariate analysis was performed using binary logistic regression modeling to calculate odds ratios (ORs) with 95% confidence intervals (CIs).

Table 5 Binary logistic regression model for the SNPs associated with the AIEC pathotype.

The use of a binary logistic regression model revealed two SNPs that are predictive of AIEC phenotype (Table 5).

Interestingly, two of the identified SNPs were adequate for the prediction of the AIEC phenotype as determined by the binary logistic regression model.